@INPROCEEDINGS{fisher99b,
author = {{Fisher~III}, J. W. and A. T. Ihler and P. Viola},
Xeditor = {S. A. Solla and T. K. Leen and K-R. M{\"u}ller},
year = 2000,
title = {Learning Informative Statistics: A Nonparametric Approach},
booktitle = {Neural Information Processing Systems 12},
pages = {900--906}
}
@INPROCEEDINGS{ihler01,
author = {A. T. Ihler and J. W. {Fisher~III} and A. S. Willsky},
month = may,
year = 2001,
volume = 6,
pages = {3473--3476},
title = {Nonparametric estimators for online signature authentication},
booktitle = {Proc. Int'l Conf. on Acoustics, Speech, and Signal Processing},
}
@TECHREPORT{sudderth02,
author = {Erik B. Sudderth and Alexander T. Ihler and William T. Freeman and
Alan S. Willsky},
year = 2002,
title = {Nonparametric Belief Propagation},
number = {MIT//LIDS P-2551},
institution = {MIT, Laboratory for Information and Decision Systems}
}
@INPROCEEDINGS{ihler03a,
author = {A. T. Ihler and J. W. {Fisher~III} and A. S. Willsky},
month = apr,
year = 2003,
title = {Hypothesis testing over factorizations for data association},
booktitle = {Information Processing in Sensor Networks},
pages = {239--253}
}
@INPROCEEDINGS{ihler03b,
author = {Ihler, A. T. and Sudderth, E. B. and Freeman, W. T. and Willsky, A. S.},
year = 2004,
title = {Efficient Multiscale Sampling from Products of {G}aussian Mixtures},
booktitle = {Neural Information Processing Systems 16},
Xeditor = "Sebastian Thrun and Lawrence Saul and Bernhard {Sch\"{o}lkopf}",
publisher = "MIT Press",
address = "Cambridge, MA",
}
@INPROCEEDINGS{sudderth03a,
author = {E. B. Sudderth and A. T. Ihler and W. T. Freeman and A. S. Willsky},
year = 2003,
title = {Nonparametric Belief Propagation},
booktitle = {Computer Vision and Pattern Recognition},
pages = {1:605--612}
}
@INPROCEEDINGS{ihler04a,
author = {A. T. Ihler and J. W. {Fisher~III} and R. L. Moses and A. S.
Willsky},
year = 2004,
title = {Nonparametric Belief Propagation for Self-Calibration in Sensor
Networks},
booktitle = {Information Processing in Sensor Networks},
pages = {225--233},
}
@INPROCEEDINGS{ihler04b,
author = {A. T. Ihler and J. W. {Fisher~III} and R. L. Moses and A. S.
Willsky},
year = 2004,
title = {Nonparametric Belief Propagation for Sensor Self-Calibration},
booktitle = {Proc. Int'l Conf. on Acoustics, Speech, and Signal Processing},
pages = {iii:861--864}
}
@ARTICLE{ihler05a,
author = {A. T. Ihler and J. W. {Fisher~III} and R. L. Moses and A. S. Willsky},
year = 2005,
title = {Nonparametric Belief Propagation for Self-Calibration in Sensor Networks},
journal = {IEEE Journal of Selected Areas in Communication},
volume = 23,
number = 4,
pages = {809--819}
}
@TECHREPORT{ihler04d,
author = {A. T. Ihler and J. W. {Fisher~III} and A. S. Willsky},
year = 2004,
title = {Communication-Constrained Inference},
number = 2601,
institution = {MIT, Laboratory for Information and Decision Systems}
}
@INPROCEEDINGS{ihler04f,
author = {A. T. Ihler and J. W. {Fisher~III} and A. S. Willsky},
year = 2005,
title = {Message Errors in Belief Propagation},
booktitle = {Neural Information Processing Systems 17},
Xeditor = {Lawrence K. Saul and Yair Weiss and {L\'{e}on} Bottou},
publisher = {MIT Press},
address = {Cambridge, MA},
pages = {609--616}
}
@ARTICLE{ihler04g,
author = {A. T. Ihler and J. W. Fisher~III and A. S. Willsky},
month = aug,
year = 2004,
title = {Nonparametric Hypothesis Tests for Statistical Dependency},
journal = {IEEE Transactions on Signal Processing},
volume = 52,
number = 8,
pages = {2234--2249}
}
@ARTICLE{ihler05b,
author = {A. T. Ihler and J. W. Fisher~III and A. S. Willsky},
month = may,
year = 2005,
title = {Loopy Belief Propagation: Convergence and Effects of Message Errors},
journal = {Journal of Machine Learning Research},
volume = 6,
pages = {905--936}
}
@MISC{ihler-kde,
author = {Alexander Ihler},
title = {Kernel Density Estimation Toolbox for Matlab},
Xurl = {http://www.ics.uci.edu/~ihler/code/}
}
@inproceedings{siracusa05,
title = {Estimating Dependency and Significance for High-Dimensional Data},
booktitle = {Proc. Int'l Conf. on Acoustics, Speech, and Signal Processing},
Xbooktitle = {Proceedings of {ICASSP} 2005 - International Conference on Acoustics, Speech, and Signal Processing},
author = {M. Siracusa and K. Tieu and A. Ihler and J. Fisher and A. Willsky},
year = { 2005 },
location = { Philadelphia (USA) },
pages = {1085--1088},
isbn={0-7803-8874-7}
}
@INPROCEEDINGS{ihler05c,
author = {Ihler, A. T. and J. W. Fisher~III and A. S. Willsky},
month = jul,
year = 2005,
title = {Particle filtering under communications constraints},
booktitle = {Proceedings, IEEE Statistical Signal Processing (SSP)},
pages = {89--94}
}
@ARTICLE{cetin06,
author = {M. Cetin and L. Chen and J. Fisher and A. Ihler and R. Moses and M. Wainwright and A. Willsky},
month = jul,
year = 2006,
title = {Distributed Fusion in Sensor Networks: A graphical models perspective},
journal = {IEEE Signal Processing Magazine},
volume = 23,
number = 4,
pages = {43--55}
}
@INPROCEEDINGS{porteous06,
title = {{G}ibbs sampling for coupled infinite mixture models in the stick-breaking representation},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
author = {I. Porteous and A. Ihler and P. Smyth and M. Welling},
Xauthor = {Ian Porteous and Alexander Ihler and Padhraic Smyth and Max Welling},
month = jul,
year = 2006,
pages = {385--392},
location = {Boston, MA, USA}
}
@INPROCEEDINGS{ihler06a,
author = {Alexander Ihler and Jon Hutchins and Padhraic Smyth},
title = {Adaptive event detection with time-varying {P}oisson processes},
booktitle = {Proc. ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining},
Xbooktitle = {KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining},
year = {2006},
Xisbn = {1-59593-339-5},
pages = {207--216},
location = {Philadelphia, PA, USA},
Xdoi = {http://doi.acm.org/10.1145/1150402.1150428},
publisher = {ACM Press},
address = {New York, NY, USA}
}
@INPROCEEDINGS{ihler06b,
author = {Ihler, A. T. and Smyth, P. J.},
year = 2007,
pages = {625--632},
title = {Learning time-intensity profiles of human activity using non-parametric {B}ayesian models},
booktitle = {Neural Information Processing Systems 19},
Xeditor = {B. Sch\"{o}lkopf and J. Platt and T. Hoffman},
publisher = {MIT Press},
address = {Cambridge, MA}
}
@ARTICLE{ihler07a,
title = {Graphical Models for Statistical Inference and Data Assimilation},
author = {A. Ihler and S. Kirshner and M. Ghil and A. Robertson and P. Smyth},
month = jun,
year = { 2007 },
journal = {Physica D: Nonlinear Phenomena},
volume = 230,
issue = {1--2},
pages = {72--87}
}
@INPROCEEDINGS{ihler07b,
title = {Accuracy bounds for belief propagation},
booktitle = {Proceedings of {UAI} 2007},
author = {Alexander Ihler},
month = jul,
pages = {183--190},
year = 2007
}
@ARTICLE{ihler07c,
author = {Alexander Ihler and Jon Hutchins and Padhraic Smyth},
title = {Learning to detect events with {Markov}-modulated {Poisson} processes},
journal = {ACM Trans. Knowl. Discov. Data},
volume = {1},
number = {3},
year = {2007},
issn = {1556--4681},
pages = {13},
Xdoi = {http://doi.acm.org/10.1145/1297332.1297337},
publisher = {ACM},
address = {New York, NY, USA},
}
@inproceedings{camsap07,
title = {Modeling count data from multiple sensors: a building occupancy model},
author = {Jon Hutchins and Alexander Ihler and Padhraic Smyth},
booktitle = {Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
month= dec,
pages = {241--245},
year = {2007}
}
@inproceedings{uai08,
author = {Umut A. Acar and Alexander T. Ihler and Ramgopal R. Mettu and {\"O}zg{\"u}r S{\"u}mer},
title = {Adaptive inference on general graphical models},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
year = {2008},
pages = {1--8},
Xee = {http://uai2008.cs.helsinki.fi/UAI_camera_ready/acar.pdf},
}
@inproceedings{nips07,
title = {Adaptive {B}ayesian Inference},
author = {Umut Acar and Alexander T. Ihler and Ramgopal R. Mettu and {\"O}zg{\"u}r S{\"u}mer},
booktitle = {Advances in Neural Information Processing Systems 20},
Xeditor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis},
publisher = {MIT Press},
address = {Cambridge, MA},
pages = {1441--1448},
year = {2008}
}
@PHDTHESIS{ihler-thesis,
author = {Alexander T. Ihler},
year = 2005,
title = {Inference in Sensor Networks: Graphical Models and Particle Methods},
school = {MIT}
}
@MASTERSTHESIS{ihler00,
author = {Alexander T. Ihler},
month = dec,
year = 2000,
title = {Maximally Informative Subspaces: Nonparametric Estimation for Dynamical Systems},
school = {MIT}
}
@inproceedings{aistats09,
author = {Alexander Ihler and David McAllester},
title = {Particle Belief Propagation},
booktitle = {Conf. on AI \& Statistics (AISTATS)},
Xbooktitle = {Proceedings of the Twelfth International Conference on
Artificial Intelligence and Statistics ({AISTATS}) 2009},
year = {2009},
pages = {256--263},
Xeditor = {D. van Dyk and M. Welling},
publisher = {JMLR: W\&CP 5},
address = {Clearwater Beach, Florida}
}
@inproceedings{porteous08,
author = {Porteous, Ian and Newman, David and Ihler, Alexander and Asuncion, Arthur and Smyth, Padhraic and Welling, Max},
title = {Fast collapsed {G}ibbs sampling for latent {D}irichlet allocation},
booktitle = {KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining},
year = {2008},
isbn = {978-1-60558-193-4},
pages = {569--577},
location = {Las Vegas, Nevada, USA},
Xdoi = {http://doi.acm.org/10.1145/1401890.1401960},
publisher = {ACM},
address = {New York, NY, USA},
}
@inproceedings{hutchins08,
author = {Jon Hutchins and Alexander Ihler and Padhraic Smyth},
title = {Probabilistic Analysis of a Large Scale Urban Traffic Sensor Data Set},
booktitle = {Knowledge Discovery from Sensor Data, LNCS \# 5840},
year = {2008},
pages = {94--114},
publisher = {Springer},
Xdoi = {10.1007/978-3-642-12519-5_6}
}
@article{lin09,
author = {Lin, Kevin K. AND Kumar, Vivek AND Geyfman, Mikhail AND Chudova, Darya AND Ihler, Alexander T. AND Smyth, Padhraic AND Paus, Ralf AND Takahashi, Joseph S. AND Andersen, Bogi},
journal = {PLoS Genet},
publisher = {Public Library of Science},
title = {Circadian Clock Genes Contribute to the Regulation of Hair Follicle Cycling},
year = {2009},
month = {07},
volume = {5},
Xurl = {http://dx.doi.org/10.1371%2Fjournal.pgen.1000573},
pages = {e1000573},
number = {7},
Xdoi = {10.1371/journal.pgen.1000573}
}
@inproceedings{ssp09,
title = {Adaptive Updates for {MAP} Configurations with Applications to Bioinformatics},
author = {Umut Acar and Alexander T. Ihler and Ramgopal R. Mettu and {\"O}zg{\"u}r S{\"u}mer},
booktitle = {IEEE Statistical Signal Processing (SSP)},
month= aug,
pages = {413--416},
year = {2009}
}
@inproceedings{allerton09,
title = {A Low Density Lattice Decoder via Non-parametric Belief Propagation},
author = {Danny Bickson and Alexander Ihler and Harel Avissar and Danny Dolev},
booktitle = {Proc. Allerton Conf. on Comm. Control and Comp.},
Xbooktitle = {Proceedings of the 47th Allerton Conference on Communications, Control and Computing},
month= aug,
pages = {439--446},
year = {2009}
}
@TECHREPORT{tr09-06,
author = {Alexander Ihler and David Newman},
year = 2009,
title = {Bounding Sample Errors in Approximate Distributed Latent {D}irichlet Allocation},
number = {09-06},
institution = {Information and Computer Science, University of California, Irvine}
}
@inproceedings{nips09,
title = {Particle-based Variational Inference for Continuous Systems},
author = {Alexander Ihler and Andrew Frank and Padhraic Smyth},
booktitle = {Advances in Neural Information Processing Systems 22},
Xeditor = {Y. Bengio and D. Schuurmans and J. Lafferty and C. K. I. Williams and A. Culotta},
pages = {826--834},
year = {2009}
}
@article{chudova09,
author = {Darya Chudova and Alexander Ihler and Kevin K. Lin and Bogi Anderson and Padhraic Smyth},
journal = {Bioinformatics},
publisher = {Oxford},
title = {{B}ayesian detection of non-sinusoidal periodic patterns in circadian expression data},
year = {2009},
month = dec,
volume = {25},
number = {23},
pages = {3114--3120},
Xdoi = {10.1093/bioinformatics/btp547}
}
@article{liu10,
author = {Qiang Liu and Kevin K. Lin and Bogi Anderson and Padhraic Smyth and Alexander Ihler},
journal = {Bioinformatics},
publisher = {Oxford},
title = {Estimating Replicate Time-Shifts Using {G}aussian Process Regression},
year = {2010},
month = mar,
volume = {26},
number = {6},
pages = {770--776},
Xdoi = {10.1093/bioinformatics/btq022}
}
@inproceedings{asuncion10a,
title = {Learning with Blocks: Composite Likelihood and Contrastive Divergence},
author = {Arthur Asuncion and Qiang Liu and Alexander Ihler and Padhraic Smyth},
booktitle = {Conf. on AI \& Statistics (AISTATS)},
Xbooktitle = {Proceedings of the Thirteenth International Conference on
Artificial Intelligence and Statistics ({AISTATS}) 2010},
year = {2010},
pages = {33--40},
Xeditor = {},
publisher = {JMLR: W\&CP 5},
address = {}
}
@inproceedings{asuncion10b,
title = {Particle Filtered {MCMC}-{MLE} with Connections to Contrastive Divergence},
author = {Arthur Asuncion and Qiang Liu and Alexander Ihler and Padhraic Smyth},
booktitle = {International Conference on Machine Learning (ICML)},
month= jun,
year = {2010},
pages = {47--54},
address = {Haifa, Israel}
}
@inproceedings{yarkony10,
title = {Covering Trees and Lower Bounds on Quadratic Assignment},
author = {Julian Yarkony and Charless Fowlkes and Alexander Ihler},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},
month= jun,
year = 2010,
pages = {887--894},
location = {San Francisco, CA, USA}
}
@inproceedings{liu10b,
title = {Negative Tree-reweighted Belief Propagation},
author = {Qiang Liu and Alexander Ihler},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
Xbooktitle = "Proceedings of the Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-10)",
Xpublisher = "AUAI Press",
Xaddress = "Corvallis, Oregon",
month= jul,
year = 2010,
pages = {332--339},
location = {Catalina Island, CA, USA}
}
@article{sudderth10,
author = {Erik Sudderth and Alexander Ihler and Michael Isard and William Freeman and Alan Willsky},
journal = {Communications of the ACM},
title = {Nonparametric Belief Propagation},
year = 2010,
month = oct,
volume = {53},
number = {10},
pages = {95--103},
}
@ARTICLE{tkde12,
author={Ihler, A. and Newman, D.},
journal={IEEE Transactions on Knowledge and Data Engineering},
title={Understanding Errors in Approximate Distributed Latent Dirichlet Allocation},
year={2012},
month=may,
volume={24},
number={5},
pages={952--960},
}
@inproceedings{liu11c,
title = {Learning scale free networks by reweighted {L1} regularization},
author = {Qiang Liu and Alexander Ihler},
booktitle = {Conf. on AI \& Statistics (AISTATS)},
month=apr,
year =2011,
pages = {40--48},
publisher = {JMLR: W\&CP 15},
location = {Ft. Lauderdale, FL, USA}
}
@inproceedings{xu11,
title = {Multicore {G}ibbs Sampling in Dense, Unstructured Graphs},
author = {Tianbing Xu and Alexander Ihler},
booktitle = {Conf. on AI \& Statistics (AISTATS)},
month=apr,
year =2011,
pages = {798--806},
publisher = {JMLR: W\&CP 15},
location = {Ft. Lauderdale, FL, USA}
}
@inproceedings{foulds11,
title = {Revisiting {MAP} Estimation, Message Passing and Perfect Graphs},
author = {James Foulds and Nicholas Navaroli and Padhraic Smyth and Alexander Ihler},
booktitle = {Conf. on AI \& Statistics (AISTATS)},
month=apr,
year =2011,
pages = {278--286},
publisher = {JMLR: W\&CP 15},
location = {Ft. Lauderdale, FL, USA}
}
@article{bickson11,
author = {Danny Bickson and Dror Baron and Alexander Ihler and Harald Avissar and Danny Dolev},
title = {Fault Detection via Nonparametric Belief Propagation},
journal = {IEEE Transactions on Signal Process.},
year = {2011},
month = jun,
volume = {59},
number = {6},
pages = {2602-2613},
}
@inproceedings{sumer11,
title = {Fast parallel and adaptive updates for dual-decomposition solvers},
author = {\"Ozg\"ur S\"umer and Acar, Umut A. and Alexander Ihler and Mettu, Ramgopal R.},
booktitle = {Conference on Artificial Intelligence (AAAI)},
month=aug,
year =2011,
pages = {1076--1082},
location = {San Francisco, CA, USA},
}
@InProceedings{liu11d,
author = {Qiang Liu and Alexander Ihler},
title = {Bounding the Partition Function using {H}\"older's Inequality },
booktitle = {International Conference on Machine Learning (ICML)},
Xbooktitle = {Proceedings of the 28th International Conference on Machine Learning (ICML-11)},
Xseries = {ICML '11},
year = {2011},
Xeditor = {Lise Getoor and Tobias Scheffer},
location = {Bellevue, Washington, USA},
Xisbn = {978-1-4503-0619-5},
month = {June},
publisher = {ACM},
address = {New York, NY, USA},
pages= {849--856},
}
@inproceedings{liu11e,
title = {Variational algorithms for marginal {MAP}},
author = {Qiang Liu and Alexander Ihler},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
fullbooktitle = {Proceedings of the Twenty-Seventh Annual Conference on Uncertainty in Artificial Intelligence (UAI-11)},
month= jul,
year = 2011,
location = {Barcelona, Spain},
publisher = "AUAI Press",
address = "Corvallis, Oregon",
pages = {453--462},
}
@inproceedings{yarkony11a,
title = {Planar cycle covering graphs},
author = {Julian Yarkony and Alexander Ihler and Charless Fowlkes},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
fullbooktitle = {Proceedings of the Twenty-Seventh Annual Conference on Uncertainty in Artificial Intelligence (UAI-11)},
month= jul,
year = 2011,
location = {Barcelona, Spain},
publisher = "AUAI Press",
address = "Corvallis, Oregon",
pages = {761--769},
}
@inproceedings{yarkony11b,
title = {Tightening {MRF} relaxations with planar subproblems},
author = {Julian Yarkony and Ragib Morshed and Alexander Ihler and Charless Fowlkes},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
fullbooktitle = {Proceedings of the Twenty-Seventh Annual Conference on Uncertainty in Artificial Intelligence (UAI-11)},
month= jul,
year = 2011,
location = {Barcelona, Spain},
publisher = "AUAI Press",
address = "Corvallis, Oregon",
pages = {770--777},
}
@article{sumer11b,
author = {\"Ozg\"ur S\"umer and Acar, Umut A. and Alexander Ihler and Mettu, Ramgopal R.},
title = {Adaptive Exact Inference in Graphical Models},
journal = {Journal of Machine Learning Research},
year = {2011},
month = nov,
volume = {12},
pages = {3147-3186},
}
@inproceedings{flerova11,
title = {Mini-bucket Elimination with Moment Matching},
author = {Natasha Flerova and Alexander Ihler and Rina Dechter and Lars Otten},
booktitle = {NIPS Workshop on Discrete Optimization (DiscML)},
month=dec,
year =2011,
}
@inproceedings{liu12a,
title = {Distributed Parameter Estimation via Pseudo-likelihood},
author = {Qiang Liu and Alexander Ihler},
booktitle = {International Conference on Machine Learning (ICML)},
Xbooktitle = {Proceedings of the 29th International Conference on Machine Learning (ICML-12)},
Xseries = {ICML '12},
Xeditor = {John Langford and Joelle Pineau},
Xlocation = {Edinburgh, Scotland, GB},
Xisbn = {978-1-4503-1285-1},
Xpublisher = {Omnipress},
Xaddress = {New York, NY, USA},
pages = {1487--1494},
month = jul,
year = 2012,
}
@inproceedings{cheng12,
title = {Approximating the Sum Operation for Marginal-{MAP} Inference},
author = {Qiang Cheng and Feng Chen and Jianwu Dong and Wenli Xu and Alexander Ihler},
booktitle = {Conference on Artificial Intelligence (AAAI)},
month=jul,
year = 2012,
pages = {1882--1887},
}
@inproceedings{frank12,
title = {A Graphical Model Representation of the Track-Oriented Multiple Hypothesis Tracker},
author = {Andrew Frank and Padhraic Smyth and Alexander Ihler},
booktitle = {Proceedings, IEEE Statistical Signal Processing (SSP)},
month=aug,
year =2012,
pages = {768-771},
}
@inproceedings{liu12b,
title = {Belief Propagation for Structured Decision Making},
author = {Qiang Liu and Alexander Ihler},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
fullbooktitle = {Proceedings of the Twenty-Eight Annual Conference on Uncertainty in Artificial Intelligence (UAI-12)},
month= aug,
year = 2012,
location = {Catalina Island, USA},
publisher = "AUAI Press",
address = "Corvallis, Oregon",
pages = {523-532}
}
@inproceedings{welling12a,
title = {A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation},
author = {Max Welling and Andrew Gelfand and Alexander Ihler},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
fullbooktitle = {Proceedings of the Twenty-Eight Annual Conference on Uncertainty in Artificial Intelligence (UAI-12)},
month= aug,
year = 2012,
location = {Catalina Island, USA},
publisher = "AUAI Press",
address = "Corvallis, Oregon",
pages = {883-892}
}
@inproceedings{ihler12a,
title = {Join-graph based cost-shifting schemes},
author = {Alexander Ihler and Natalia Flerova and Rina Dechter and Lars Otten},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
fullbooktitle = {Proceedings of the Twenty-Eight Annual Conference on Uncertainty in Artificial Intelligence (UAI-12)},
month= aug,
year = 2012,
location = {Catalina Island, USA},
publisher = "AUAI Press",
address = "Corvallis, Oregon",
pages = {397--406}
}
@inproceedings{yarkony12,
author="Yarkony, Julian and Ihler, Alexander and Fowlkes, Charless C.",
Xeditor="Fitzgibbon, Andrew and Lazebnik, Svetlana and Perona, Pietro and Sato, Yoichi and Schmid, Cordelia",
title="Fast Planar Correlation Clustering for Image Segmentation",
booktitle = {European Conference on Computer Vision (ECCV)},
fullbooktitle="Computer Vision -- ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VI",
year="2012",
location = {Florence, Italy},
publisher="Springer Berlin Heidelberg",
Xaddress="Berlin, Heidelberg",
pages="568--581",
}
@article{geyfman+12,
author = { Mikhail Geyfman and Vivek Kumar and Qiang Liu and Rolando Ruiz and William Gordon and
Francisco Espitia and Eric Cam and Sarah E. Millar and Padhraic Smyth and Alexander Ihler and
Joseph S. Takahashi and Bogi Andersen},
journal = {Proc. Nat. Acad. Sci.},
journalfull = {Proceedings of the National Academy of Sciences},
title = {Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and
susceptibility to UVB-induced DNA damage in the epidermis},
year = {2012},
month = jul,
volume = {109},
number = {29},
pages = {11758--11763},
}
@inproceedings{NIPS2012_0328,
title ={Variational Inference for Crowdsourcing},
author={Qiang Liu and Jian Peng and Alexander Ihler},
booktitle = {Advances in Neural Information Processing Systems 25},
Xeditor = {P. Bartlett and F.C.N. Pereira and C.J.C. Burges and L. Bottou and K.Q. Weinberger},
pages = {701--709},
year = {2012}
}
@inproceedings{iccp13,
title ={Image Enhancement in Projectors via Optical Pixel Shift and Overlay},
author={Behzad Sajadi and Duy Qoc-Lai and Alexander Ihler and M. Gopi and Aditi Majumder},
booktitle = {IEEE International Conference on Computational Photography (ICCP)},
Xeditor = {P. Bartlett and F.C.N. Pereira and C.J.C. Burges and L. Bottou and K.Q. Weinberger},
year = {2013}
}
@inproceedings{acml13,
title ={Linear Approximation to {ADMM} for {MAP} inference},
author={Sholeh Forouzan and Alexander Ihler},
booktitle = {JMLR W\&CP},
issue = 29,
pages = {48--61},
Xeditor = {Ong, Cheng Soon and Ho, Tu Bao},
month = nov,
year = {2013}
}
@incollection{NIPS2013_4889,
title = {Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?},
author = {Liu, Qiang and Ihler, Alexander T and Steyvers, Mark},
booktitle = {Advances in Neural Information Processing Systems 26},
Xeditor = {C. J. C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K. Q. Weinberger},
pages = {1914--1922},
year = {2013},
publisher = {Curran Associates, Inc.},
Xurl = {http://papers.nips.cc/paper/4889-scoring-workers-in-crowdsourcing-how-many-control-questions-are-enough.pdf}
}
@incollection{NIPS2013_5067,
title = {Variational Planning for Graph-based MDPs},
author = {Cheng, Qiang and Liu, Qiang and Chen, Feng and Ihler, Alexander},
booktitle = {Advances in Neural Information Processing Systems 26},
Xeditor = {C. J. C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K. Q. Weinberger},
pages = {2976--2984},
year = {2013},
publisher = {Curran Associates, Inc.},
Xurl = {http://papers.nips.cc/paper/5067-variational-planning-for-graph-based-mdps.pdf}
}
@inproceedings{gelfand13,
title={Does better inference mean better learning?},
author={A. Gelfand and R. Dechter and A. Ihler},
booktitle={NIPS workshop on Perturbations, Optimization, and Statistics},
year={2013}
}
@article{JMLR:liu13b,
author = {Qiang Liu and Alexander Ihler},
title = {Variational Algorithms for Marginal {MAP}},
journal = {Journal of Machine Learning Research},
year = {2013},
volume = {14},
pages = {3165-3200},
Xurl = {http://jmlr.org/papers/v14/liu13b.html}
}
@incollection{NIPS2014_5229,
title = {Distributed Estimation, Information Loss and Exponential Families},
author = {Liu, Qiang and Ihler, Alexander},
booktitle = {Advances in Neural Information Processing Systems 27},
Xeditor = {Z. Ghahramani and M. Welling and C. Cortes and N. D. Lawrence and K. Q. Weinberger},
pages = {1098--1106},
year = {2014},
publisher = {Curran Associates, Inc.},
}
@article {HBM:HBM22149,
author = {Keator, David B. and Fallon, James H. and Lakatos, Anita and Fowlkes, Charless C. and Potkin, Steven G. and Ihler, Alexander},
title = {Feed-forward hierarchical model of the ventral visual stream applied to functional brain image classification},
journal = {Human Brain Mapping},
volume = {35},
number = {1},
issn = {1097-0193},
pages = {38--52},
year = {2014},
}
@article {frank14,
author = {Frank, Andrew and Smyth, Padhraic and Ihler, Alexander},
title = {Beyond {MAP} estimation with the track-oriented multiple-hypothesis tracker},
journal = {IEEE Transactions on Signal Processing},
volume = {62},
number = {9},
pages = {2413--2423},
month = may,
year = {2014},
}
@inproceedings{marinescu14,
title = {{AND/OR} Search for Marginal {MAP}},
author = {Marinescu, Radu and Dechter, Rina and Ihler, Alexander},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
month= jul,
year = 2014,
pages = {563--572},
location = {Quebec City, Canada}
}
@inproceedings{DBLP:conf/socs/LamKDI14,
author = {William Lam and
Kalev Kask and
Rina Dechter and
Alexander T. Ihler},
title = {Beyond Static Mini-Bucket: Towards Integrating with Iterative Cost-Shifting
Based Dynamic Heuristics},
booktitle = {Symposium on Combinatorial Search (SOCS)},
publisher = {{AAAI} Press},
year = {2014}
}
@inproceedings{icml2014c2_ping14,
publisher = {JMLR Workshop and Conference Proceedings},
title = {Marginal Structured SVM with Hidden Variables},
author = {Wei Ping and Qiang Liu and Alexander Ihler},
Xeditor = {Tony Jebara and Eric P. Xing},
year = 2014,
fullbooktitle = {Proceedings of the 31st International Conference on Machine Learning (ICML-14)},
booktitle = {International Conference on Machine Learning (ICML)},
pages = {190--198}
}
@inproceedings{marinescu15,
title = {Pushing Forward Marginal {MAP} with Best-First Search},
author = {Radu Marinescu and Rina Dechter and Alexander Ihler},
booktitle = {Int'l Joint Conference on Artificial Intelligence (IJCAI)},
month= jul,
year = 2015,
pages = {1--7},
location = {Buenos Aires, Argentina}
}
@inproceedings{liu15a,
title = {Boosting Crowdsourcing with Expert Labels: Local vs. Global Effects},
author = {Qiang Liu and John Fisher and Alexander Ihler},
booktitle = {Int'l Conference on Information Fusion},
month= jul,
year = 2015,
pages = {9--14},
location = {Washington, DC USA}
}
@inproceedings{forouzan15,
title = {Incremental Region Selection for Mini-bucket Elimination Bounds},
author = {Sholeh Forouzan and Alexander Ihler},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
month= jul,
year = 2015,
pages = {1--10},
location = {Amsterdam, Netherlands}
}
@inproceedings{liu15b,
title = {Estimating the Partition Function by Discriminance Sampling},
author = {Qiang Liu and Jian Peng and Alexander Ihler and John Fisher},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
month= jul,
year = 2015,
pages = {1--9},
location = {Amsterdam, Netherlands}
}
@article{tns15,
author = {David Keator and Alexander Ihler},
title = {Crystal Identification in Positron Emission Tomography Using Probabilistic Graphical Models},
journal = {IEEE Transactions on Nuclear Science},
volume = {62},
number = {5},
pages = {2102-2112},
month = oct,
year = {2015},
Xdoi = {10.1109/TNS.2015.2477310},
Xurl = {https://ieeexplore.ieee.org/document/7286863/}
}
@inproceedings{NIPS2015_5700,
title = {Decomposition Bounds for Marginal {MAP}},
author = {Ping, Wei and Liu, Qiang and Ihler, Alexander T},
booktitle = {Advances in Neural Information Processing Systems 28},
Xeditor = {C. Cortes and N. D. Lawrence and D. D. Lee and M. Sugiyama and R. Garnett},
pages = {3267--3275},
year = {2015},
publisher = {Curran Associates, Inc.},
location = {Montreal, Canada}
}
@inproceedings{NIPS2015_5695,
title = {Probabilistic Variational Bounds for Graphical Models},
author = {Liu, Qiang and Fisher III, John W and Ihler, Alexander T},
booktitle = {Advances in Neural Information Processing Systems 28},
Xeditor = {C. Cortes and N. D. Lawrence and D. D. Lee and M. Sugiyama and R. Garnett},
pages = {1432--1440},
year = {2015},
publisher = {Curran Associates, Inc.},
location = {Montreal, Canada}
}
@inproceedings{roijers2015malic,
title={Variational Multi-Objective Coordination},
author={Roijers, Diederik M. and Whiteson, Shimon and Ihler, Alex, and Oliehoek, Frans A.},
booktitle={Proceedings of the 2015 NIPS workshop: Learning, Inference and Control of Multi-Agent Systems},
year={2015}
}
@inproceedings{marinescu16,
title = {From Exact to Anytime Solutions for Marginal {MAP}},
author = {Junkyu Lee and Radu Marinescu and Rina Dechter and Alexander Ihler},
booktitle = {Conference on Artificial Intelligence (AAAI)},
month= feb,
year = 2016,
pages = {3255--3262},
location = {Phoenix, AZ USA}
}
@incollection{NIPS2016_6342,
title = {Learning Infinite {RBM}s with {F}rank-{W}olfe},
author = {Ping, Wei and Liu, Qiang and Ihler, Alexander T},
booktitle = {Advances in Neural Information Processing Systems 29},
Xeditor = {D. D. Lee and M. Sugiyama and U. V. Luxburg and I. Guyon and R. Garnett},
pages = {3063--3071},
year = {2016},
publisher = {Curran Associates, Inc.},
Xurl = {http://papers.nips.cc/paper/6342-learning-infinite-rbms-with-frank-wolfe.pdf}
}
@inproceedings{aaai17a,
title = {Anytime Anyspace {AND/OR} Search for Bounding the Partition Function},
author = {Qi Lou and Rina Dechter and Alexander Ihler},
booktitle = {Conference on Artificial Intelligence (AAAI)},
Xbooktitle = {Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence,
February 4-9, 2017, San Francisco, California, {USA.}},
month= feb,
year = 2017,
pages = {860--867},
location = {San Francisco, California, {USA}},
Xcrossref = {DBLP:conf/aaai/2017},
Xurl = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/15021},
}
@inproceedings{aaai17b,
title = {Anytime Best+Depth-First Search for Bounding Marginal {MAP}},
author = {Radu Marinescu and Junkyu Lee and Rina Dechter and Alexander Ihler},
booktitle = {Conference on Artificial Intelligence (AAAI)},
month= feb,
year = 2017,
pages = {3775--3782},
location = {San Francisco, California, {USA}},
}
@article{jhm16,
author = {Yumeng Tao and Xiaogang Gao and Kuolin Hsu and Soroosh Sorooshian and Alexander Ihler},
title = {A Deep Neural Network Modeling Framework to Reduce Bias in Satellite Precipitation Products},
journal = {Journal of Hydrometeorology},
volume = {17},
number = {3},
pages = {931-945},
year = {2016},
Xdoi = {10.1175/JHM-D-15-0075.1},
Xurl = {https://doi.org/10.1175/JHM-D-15-0075.1}
}
@article{jhm18,
author = {Yumeng Tao and Kuolin Hsu and Alexander Ihler and Xiaogang Gao and Soroosh Sorooshian},
title = {A Two-Stage Deep Neural Network Framework for Precipitation Estimation from Bispectral Satellite Information},
journal = {Journal of Hydrometeorology},
volume = {19},
number = {2},
pages = {393-408},
year = {2018},
Xdoi = {10.1175/JHM-D-17-0077.1},
Xurl = {https://doi.org/10.1175/JHM-D-17-0077.1}
}
@incollection{NIPS2017_6912,
title = {Dynamic Importance Sampling for Anytime Bounds of the Partition Function},
author = {Lou, Qi and Dechter, Rina and Ihler, Alexander T},
booktitle = {Advances in Neural Information Processing Systems 30},
Xeditor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},
pages = {3196--3204},
year = {2017},
publisher = {Curran Associates, Inc.},
Xurl = {http://papers.nips.cc/paper/6912-dynamic-importance-sampling-for-anytime-bounds-of-the-partition-function.pdf}
}
@inproceedings{aistats17,
author = {Wei Ping and
Alexander T. Ihler},
title = {Belief Propagation in Conditional {RBM}s for Structured Prediction},
booktitle = {{AISTATS}},
series = {Proceedings of Machine Learning Research},
volume = {54},
pages = {1141--1149},
publisher = {{PMLR}},
year = {2017}
}
@inproceedings{aaai18b,
author = {Qi Lou and Rina Dechter and Alexander Ihler},
title = {Anytime Anyspace {AND/OR} Best-First Search for Bounding Marginal
{MAP}},
booktitle = {Conference on Artificial Intelligence (AAAI)},
Xbooktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
New Orleans, Louisiana, USA, February 2-7, 2018},
year = {2018},
pages = {6392--6400},
location = {New Orleans, Louisiana, {USA}},
Xcrossref = {DBLP:conf/aaai/2018},
Xurl = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17310},
}
@inproceedings{aaai18a,
author = {Nicholas Gallo and Alexander T. Ihler},
title = {Lifted Generalized Dual Decomposition},
booktitle = {Conference on Artificial Intelligence (AAAI)},
Xbooktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
New Orleans, Louisiana, USA, February 2-7, 2018},
year = {2018},
pages = {6351--6359},
location = {New Orleans, Louisiana, {USA}},
Xcrossref = {DBLP:conf/aaai/2018},
}
@inproceedings{DBLP:conf/icml/KennamerKIS18,
author = {Noble Kennamer and
David Kirkby and
Alexander T. Ihler and
Francisco Javier Sanchez{-}Lopez},
title = {ContextNet: Deep learning for Star Galaxy Classification},
booktitle = {{ICML}},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {80},
pages = {2587--2595},
publisher = {JMLR.org},
year = {2018}
}
@inproceedings{DBLP:conf/cec/TaoGIHS16,
author = {Yumeng Tao and Xiaogang Gao and Alexander T. Ihler and Kuolin Hsu and Soroosh Sorooshian},
title = {Deep neural networks for precipitation estimation from remotely sensed information},
booktitle={2016 IEEE Congress on Evolutionary Computation (CEC)},
pages = {1349--1355},
publisher = {{IEEE}},
month = jul,
year = {2016}
}
@inproceedings{DBLP:conf/infocom/CiciAIM16,
author = {Blerim Cici and
Emmanouil Alimpertis and
Alexander T. Ihler and
Athina Markopoulou},
title = {Cell-to-cell activity prediction for smart cities},
booktitle = {{INFOCOM} Workshops},
pages = {903--908},
publisher = {{IEEE}},
year = {2016}
}
@inproceedings{DBLP:conf/ijcai/0002DI18,
author = {Radu Marinescu and
Rina Dechter and
Alexander T. Ihler},
title = {Stochastic Anytime Search for Bounding Marginal {MAP}},
booktitle = {Int'l Joint Conference on Artificial Intelligence (IJCAI)},
pages = {5074--5081},
publisher = {ijcai.org},
year = {2018}
}
@inproceedings{uai18a,
title = {Finite-sample Bounds for Marginal {MAP}},
author = {Qi Lou and Rina Dechter and Alexander Ihler},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
month= jul,
year = 2018,
pages = {1--9},
location = {Monterey, CA USA}
}
@inproceedings{uai18b,
title = {Join Graph Decomposition Bounds for Influence Diagrams},
author = {Junkyu Lee and Alexander Ihler and Rina Dechter},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
month= aug,
year = 2018,
pages = {1--9},
location = {Monterey, CA USA}
}
@inproceedings{uai18c,
title = {Abstraction Sampling in Graphical Models},
author = {Filjor Broka and Rina Dechter and Alexander Ihler and Kalev Kask},
booktitle = {Uncertainty in Artificial Intelligence (UAI)},
month= aug,
year = 2018,
pages = {1--9},
location = {Monterey, CA USA}
}
@inproceedings{Wang_2018_ECCV,
author = {Wang, Shaofei and Ihler, Alexander and Kording, Konrad and Yarkony, Julian},
title = {Accelerating Dynamic Programs via Nested {Benders} Decomposition with Application to Multi-Person Pose Estimation},
booktitle = {European Conference on Computer Vision (ECCV)},
pages = {1--15},
Xpages = {},
month = sep,
year = {2018}
}