Publications

"Variational Inference for Crowdsourcing"; Liu, Peng, Ihler; Neural Information Processing Systems (NIPS), Dec. 2012
C43: [ Abstract ] | [ BibTex ] | [ PDF ]

"Fast Planar Correlation Clustering for Image Segmentation"; Yarkony, Ihler, Fowlkes; European Conference on Computer Vision (ECCV), Oct. 2012
C42: [ Abstract ] | [ BibTex ] | [ PDF ]

"Belief Propagation for Structured Decision Making"; Liu, Ihler; Uncertainty in Artificial Intelligence (UAI), Aug. 2012
C41: [ Abstract ] | [ BibTex ] | [ PDF ]

"A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation"; Welling, Gelfand, Ihler; Uncertainty in Artificial Intelligence (UAI), Aug. 2012
C40: [ Abstract ] | [ BibTex ] | [ PDF ]

"Join-graph based cost-shifting schemes"; Ihler, Flerova, Dechter, Otten; Uncertainty in Artificial Intelligence (UAI), Aug. 2012
C39: [ Abstract ] | [ BibTex ] | [ PDF ]

"A Graphical Model Representation of the Track-Oriented Multiple Hypothesis Tracker"; Frank, Smyth, Ihler; IEEE Conference on Statistical Signal Processing (SSP), Aug. 2012
C38: [ Abstract ] | [ BibTex ] | [ PDF ]

"Brain and muscle Arnt-like protein-1 (BMAL1) controls circadian cell proliferation and susceptibility to UVB-induced DNA damage in the epidermis"; Geyfman et al.; Proc. National Academy of Sciences (PNAS), 109 (29), pp. 11758-11763.
J14: [ Abstract ] | [ BibTex ] | [ Link ]

"Approximating the Sum Operation for Marginal-MAP Inference"; Cheng, Chen, Dong, Xu, Ihler; Conference on Artificial Intelligence (AAAI), July 2012
C37: [ Abstract ] | [ BibTex ] | [ PDF ]

"Distributed Parameter Estimation via Pseudo-likelihood"; Liu, Ihler; International Conference on Machine Learning (ICML), June 2012
C36: [ Abstract ] | [ BibTex ] | [ PDF ]

"Mini-bucket Elimination with Moment Matching"; Flerova, Ihler, Dechter, Otten; NIPS Workshop on Discrete Optimization (DiscML), 2011
R6: [ Abstract ] | [ BibTex ] | [ PDF ]

"Adaptive Exact Inference in Graphical Models"; Sumer, Acar, Ihler, Mettu; J. Machine Learning Res. (JMLR) 12, Nov. 2011, pp. 3147-3186.
J13: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Variational algorithms for marginal MAP"; Liu, Ihler; Uncertainty in Artificial Intelligence (UAI), 2011
C35: [ Abstract ] | [ BibTex ] | [ PDF ]

"Planar cycle covering graphs"; Yarkony, Ihler, Fowlkes; Uncertainty in Artificial Intelligence (UAI), 2011 (earlier arXiv version)
C34: [ Abstract ] | [ BibTex ] | [ PDF ]

"Tightening MRF relaxations with planar subproblems"; Yarkony, Morshed, Ihler, Fowlkes; Uncertainty in Artificial Intelligence (UAI), 2011 (corrected)
C33: [ Abstract ] | [ BibTex ] | [ PDF ]

"Fast parallel and adaptive updates for dual-decomposition solvers"; Sumer, Acar, Ihler, Mettu; Conference on Artificial Intelligence (AAAI), 2011
C32: [ Abstract ] | [ BibTex ] | [ PDF ]

"Bounding the Partition Function using Holder's Inequality"; Liu, Ihler; International Conference on Machine Learning (ICML), 2011
C31: [ Abstract ] | [ BibTex ] | [ PDF ]

"Fault Detection via Nonparametric Belief Propagation"; Bickson, Baron, Ihler, Avissar, Dolev; IEEE Trans. Signal Proc. 59(6), June 2011. (arXiv version)
J12: [ Abstract ] | [ BibTex ] | [ Link ]

"Learning Scale Free Networks by Reweighted L1 regularization"; Liu, Ihler; AI & Statistics, April 2011. (Notable paper award)
C30: [ Abstract ] | [ BibTex ] | [ PDF ]

"Multicore Gibbs Sampling in Dense, Unstructured Graphs"; Xu, Ihler; AI & Statistics, April 2011.
C29: [ Abstract ] | [ BibTex ] | [ PDF ]

"Revisiting MAP Estimation, Message Passing and Perfect Graphs"; Foulds, Navaroli, Smyth, Ihler; AI & Statistics, April 2011.
C28: [ Abstract ] | [ BibTex ] | [ PDF ]

"Understanding Errors in Approximate Distributed Latent Dirichlet Allocation"; Ihler, Newman; IEEE Trans. Knowledge Data Engineering, 24(5), pp.952-960, May 2012. (Preliminary version, 2009: TR-09-06, PDF)
J11: [ Abstract ] | [ BibTex ] | [ PDF ] | [ Link ]

"Nonparametric Belief Propagation"; Sudderth, Ihler, Isard, Freeman, Willsky; Communications of the ACM 53(10), Oct. 2010 pp. 95-103.
J10: [ Abstract ] | [ BibTex ] | [ Link ]

"Negative Tree-reweighted Belief Propagation"; Liu, Ihler; Uncertainty in Artificial Intelligence (UAI), July 2010
C27: [ Abstract ] | [ BibTex ] | [ PDF ]

"Covering Trees and Lower Bounds on Quadratic Assignment"; Yarkony, Fowlkes, Ihler; Computer Vision & Pattern Recognition (CVPR), June 2010
C26: [ Abstract ] | [ BibTex ] | [ PDF ]

"Particle Filtered MCMC-MLE with Connections to Contrastive Divergence"; Asuncion, Liu, Ihler, Smyth; Int'l Conf on Machine Learning (ICML), June 2010
C25: [ Abstract ] | [ BibTex ] | [ PDF ]

"Learning with Blocks: Composite Likelihood and Contrastive Divergence"; Asuncion, Liu, Ihler, Smyth; AI & Statistics (AISTATS), April 2010
C24: [ Abstract ] | [ BibTex ] | [ PDF ]

"Estimating Replicate Time-Shifts Using Gaussian Process Regression"; Liu, Lin, Anderson, Smyth, Ihler; Bioinformatics 26(6), Mar. 2010, pp. 770-776; doi:10.1093/bioinformatics/btq022
J9: [ Abstract ] | [ BibTex ] | [ Link ]

"Bayesian detection of non-sinusoidal periodic patterns in circadian expression data"; Chudova, Ihler, Lin, Andersen, Smyth; Bioinformatics 25(23), Dec. 2009, pp. 3114-3120; doi: 10.1093/bioinformatics/btp547.
J8: [ Abstract ] | [ BibTex ] | [ Link ]

"Particle-Based Variational Inference for Continuous Systems"; Ihler, Frank, Smyth; Neural Information Processing Systems, Dec. 2009
C23: [ Abstract ] | [ BibTex ] | [ PDF ]

"Bounding Sample Errors in Approximate Distributed Latent Dirichlet Allocation"; Ihler, Newman; ICS Technical Report 09-06, Oct. 2009.
R4: [ Abstract ] | [ BibTex ] | [ PDF ]

"A Low Density Lattice Decoder via Non-parametric Belief Propagation"; Bickson, Ihler, Avissar, Dolev; Allerton Conference on Communication, Control, and Computing, Sept. 2009
C22: [ Abstract ] | [ BibTex ] | [ PDF ]

"Adaptive Updates for MAP Configurations with Applications to Bioinformatics"; Acar, Ihler, Mettu, Sumer; in IEEE Statistical Signal Processing (SSP), Sept. 2009
C21: [ Abstract ] | [ BibTex ] | [ PDF ]

"Circadian Clock Genes Contribute to the Regulation of Hair Follicle Cycling"; Lin, Kumar, Geyfman, Chudova, Ihler, Smyth, Paus, Takahashi, Andersen; PLoS Genetics, 5(7):e1000573. July 2009. doi:10.1371/journal.pgen.1000573
J7: [ Abstract ] | [ BibTex ] | [ PDF ] | [ Link ]

"Particle Belief Propagation"; Ihler, McAllester; in Twelfth International Conference on Artificial Intelligence and Statistics (AIStats), April 2009.
C20: [ Abstract ] | [ BibTex ] | [ PDF ]

"Probabilistic Analysis of a Large Scale Urban Traffic Sensor Data Set"; Hutchins, Ihler, Smyth; in Second International Workshop on Knowledge Discovery from Sensor Data 2008, LNCS series #5840, pp. 94-114, 2010.
C19: [ Abstract ] | [ BibTex ] | [ PDF ] | [ Link ]

"Fast Collapsed Gibbs Sampling for Latent Dirichlet Allocation"; Porteous, Newman, Ihler, Asuncion, Smyth, Welling; in ACM Knowledge Discovery and Data Mining (KDD) 2008.
C18: [ Abstract ] | [ BibTex ] | [ PDF ]

"Adaptive Inference in General Graphical Models"; Acar, Ihler, Mettu, Sumer; in Uncertainty in Artificial Intelligence (UAI) 2008.
C17: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Learning to detect events with Markov-modulated Poisson processes"; Ihler, Hutchins, Smyth; ACM Transactions on Knowledge Discovery from Data, Vol 1 Issue 3, Dec. 2007.
J6: [ Abstract ] | [ BibTex ] | [ Link ]

"Graphical Models and Fusion in Sensor Networks"; Cetin, Chen, Fisher, Ihler, Kreidl, Moses, Wainwright, Williams, Willsky; in Wireless Sensor Networks: Signal Processing and Communications, Wiley 2007.
B1: [ Abstract ] | [ BibTex ] | [ Link ]

"Adaptive Bayesian Inference"; Acar, Ihler, Mettu, Sumer; in Neural Information Processing Systems (NIPS) 2007.
C16: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Modeling Count Data from Multiple Sensors: A Building Occupancy Model"; Hutchins, Ihler, Smyth; in Computational Advances in Multisensor Adaptive Processing (CAMSAP) 2007.
C15: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Accuracy Bounds for Belief Propagation"; Ihler; in Uncertainty in Artificial Intelligence (UAI) 2007.
C14: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Graphical Models for Statistical Inference and Data Assimilation"; Ihler, Kirshner, Ghil, Robertson, Smyth; Physica D: Nonlinear Phenomena, June 2007. (Survey of graphical model methods)
J5: [ Abstract ] | [ BibTex ] | [ PDF ] | [ Link ]

"Learning Time-Intensity Profiles of Human Activity Using Nonparametric Bayesian Models"; Ihler, Smyth; in Neural Information Processing Systems (NIPS) 2006.
C13: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Adaptive Event Detection with Time-Varying Poisson Processes"; Ihler, Hutchins, Smyth; in Knoweldge Discovery and Data Mining (KDD) 2006.
C12: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Distributed Fusion in Sensor Networks"; Cetin, Chen, Fisher, Ihler, Moses, Wainwright, Willsky; IEEE Signal Processing Magazine, July 2006.
J4: [ Abstract ] | [ BibTex ] | [ PDF ]

"Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation"; Porteous, Ihler, Smyth, Welling; in Uncertainty in Artificial Intelligence (UAI) 2006.
C11: [ Abstract ] | [ BibTex ] | [ PDF ]

"Particle Filtering Under Communications Constraints"; Ihler, Fisher, Willsky; in Statistical Signal Processing (SSP) 2005.
C10: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Loopy Belief Propagation: Convergence and Effects of Message Errors"; Ihler, Fisher, Willsky; Journal of Machine Learning Research, May 2005. (Full version of NIPS'04 paper)
J3: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Nonparametric Belief Propagation for Sensor Network Self-Calibration"; Ihler, Fisher, Moses, Willsky; Journal of Selected Areas in Communication, Apr. 2005. (Expanded version of IPSN/ICASSP papers)
J2: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Estimating Dependency and Significance for High-Dimensional Data"; Siracusa, Tieu, Ihler, Fisher, Willsky; in ICASSP 2005.
C9: [ Abstract ] | [ BibTex ] | [ PDF ]

"Inference in Sensor Networks: Graphical Models and Particle Methods"; Ihler; Ph.D. Thesis, MIT, 2005
T2: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS (zipped) ]

"Message Errors in Belief Propagation"; Ihler, Fisher, Willsky; in Neural Information Processing Systems (NIPS) 2004. (Outstanding Student Paper Award)
C8: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Nonparametric Hypothesis Tests for Statistical Dependency"; Ihler, Fisher, Willsky; IEEE Transactions on Signal Processing, Aug. 2004.
J1: [ Abstract ] | [ BibTex ] | [ PDF ]

"Communications-Constrained Inference"; Ihler, Fisher, Willsky; LIDS Tech Report 2601 (Lossless and lossy encoding of sample-based density estimates)
R3: [ Abstract ] | [ BibTex ] | [ PDF ]

"Nonparametric Belief Propagation for Sensor Network Self-Calibration"; Ihler, Fisher, Moses, Willsky; in ICASSP 2004.
C7: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"An Overview of Fast Multipole Methods"; Ihler; 2004 (MIT Area Exam)
R1: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Nonparametric Belief Propagation for Self-Calibration in Sensor Networks"; Ihler, Fisher, Moses, Willsky; in Information Processing in Sensor Networks (IPSN) 2004. (Best Student Paper Award)
C6: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Efficient Multiscale Sampling from Products of Gaussian Mixtures"; Ihler, Sudderth, Freeman, Willsky; in Neural Information Processing Systems (NIPS) 2003.
C5: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Nonparametric Belief Propagation"; Sudderth, Ihler, Freeman, Willsky; in Computer Vision and Pattern Recognition (CVPR) 2003. (also AI Memo # AIM-2002-020)
C4: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Hypothesis Testing over Factorizations for Data Association"; Ihler, Fisher, Willsky; in Information Processing in Sensor Networks (IPSN) 2003.
C3: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Nonparametric Belief Propagation"; Sudderth, Ihler, Freeman, Willsky; LIDS Technical Report # 2551, Aug. 2002.
R2: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Nonparametric Estimators for Online Signature Authentication"; Ihler, Fisher, Willsky; in ICASSP 2001.
C2: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]

"Maximally Informative Subspaces: Nonparametric Estimation for Dynamical Systems"; Ihler; Masters' Thesis, MIT, 2000
T1: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS (zipped) ]

"Learning Informative Statistics: A Nonparametric Approach"; Fisher, Ihler, Viola; in Neural Information Processing Systems (NIPS) 1999.
C1: [ Abstract ] | [ BibTex ] | [ PDF ] | [ PS ]