Alexander T. Ihler

Qiang Liu, Alexander T. Ihler: Variational Algorithms for Marginal MAP. CoRR abs/1302.6584 (2013)

Alexander T. Ihler, David Newman: Understanding Errors in Approximate Distributed Latent Dirichlet Allocation. IEEE Trans. Knowl. Data Eng. 24(5): 952-960 (2012)

Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu, Alexander T. Ihler: Approximating the Sum Operation for Marginal-MAP Inference. AAAI 2012

Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes: Fast Planar Correlation Clustering for Image Segmentation. ECCV (6) 2012: 568-581

Qiang Liu, Alexander T. Ihler: Distributed Parameter Estimation via Pseudo-likelihood . ICML 2012

Qiang Liu, Jian Peng, Alexander T. Ihler: Variational Inference for Crowdsourcing. NIPS 2012: 701-709

Alexander T. Ihler, Natalia Flerova, Rina Dechter, Lars Otten: Join-graph based cost-shifting schemes. UAI 2012: 397-406

Qiang Liu, Alexander T. Ihler: Belief Propagation for Structured Decision Making. UAI 2012: 523-532

Max Welling, Andrew Gelfand, Alexander T. Ihler: A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. UAI 2012: 883-892

Qiang Liu, Alexander T. Ihler: Variational Algorithms for Marginal MAP. CoRR abs/1202.3742 (2012)

Julian Yarkony, Ragib Morshed, Alexander T. Ihler, Charless C. Fowlkes: Tightening MRF Relaxations with Planar Subproblems. CoRR abs/1202.3771 (2012)

Qiang Liu, Alexander T. Ihler: Negative Tree Reweighted Belief Propagation. CoRR abs/1203.3494 (2012)

Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu, Özgür Sümer: Adaptive Inference on General Graphical Models. CoRR abs/1206.3234 (2012)

Alexander T. Ihler: Accuracy Bounds for Belief Propagation. CoRR abs/1206.5277 (2012)

Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes: Fast Planar Correlation Clustering for Image Segmentation. CoRR abs/1208.0378 (2012)

Alexander T. Ihler, Natalia Flerova, Rina Dechter, Lars Otten: Join-graph based cost-shifting schemes. CoRR abs/1210.4878 (2012)

Qiang Liu, Alexander T. Ihler: Belief Propagation for Structured Decision Making. CoRR abs/1210.4897 (2012)

Max Welling, Andrew E. Gelfand, Alexander T. Ihler: A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. CoRR abs/1210.4916 (2012)

Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu: Adaptive Exact Inference in Graphical Models. Journal of Machine Learning Research 12: 3147-3186 (2011)

Qiang Liu, Alexander T. Ihler: Learning Scale Free Networks by Reweighted L1 regularization. Journal of Machine Learning Research - Proceedings Track 15: 40-48 (2011)

James R. Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander T. Ihler: Revisiting MAP Estimation, Message Passing and Perfect Graphs. Journal of Machine Learning Research - Proceedings Track 15: 278-286 (2011)

Tianbing Xu, Alexander T. Ihler: Multicore Gibbs Sampling in Dense, Unstructured Graphs. Journal of Machine Learning Research - Proceedings Track 15: 798-806 (2011)

Danny Bickson, Dror Baron, Alexander T. Ihler, Harel Avissar, Danny Dolev: Fault Identification Via Nonparametric Belief Propagation. IEEE Transactions on Signal Processing 59(6): 2602-2613 (2011)

Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu: Fast Parallel and Adaptive Updates for Dual-Decomposition Solvers. AAAI 2011

Qiang Liu, Alexander T. Ihler: Bounding the Partition Function using Holder's Inequality. ICML 2011: 849-856

Qiang Liu, Alexander T. Ihler: Variational Algorithms for Marginal MAP. UAI 2011: 453-462

Julian Yarkony, Alexander T. Ihler, Charless Fowlkes: Planar Cycle Covering Graphs. UAI 2011: 761-769

Julian Yarkony, Ragib Morshed, Alexander T. Ihler, Charless Fowlkes: Tightening MRF Relaxations with Planar Subproblems. UAI 2011: 770-777

Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes: Planar Cycle Covering Graphs. CoRR abs/1104.1204 (2011)

Qiang Liu, Kevin K. Lin, Bogi Andersen, Padhraic Smyth, Alexander T. Ihler: Estimating replicate time shifts using Gaussian process regression. Bioinformatics 26(6): 770-776 (2010)

Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky: Nonparametric belief propagation. Commun. ACM 53(10): 95-103 (2010)

Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler, Padhraic Smyth: Learning with Blocks: Composite Likelihood and Contrastive Divergence. Journal of Machine Learning Research - Proceedings Track 9: 33-40 (2010)

Julian Yarkony, Charless C. Fowlkes, Alexander T. Ihler: Covering trees and lower-bounds on quadratic assignment. CVPR 2010: 887-894

Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler, Padhraic Smyth: Particle Filtered MCMC-MLE with Connections to Contrastive Divergence. ICML 2010: 47-54

Qiang Liu, Alexander T. Ihler: Negative Tree Reweighted Belief Propagation. UAI 2010: 332-339

Darya Chudova, Alexander T. Ihler, Kevin K. Lin, Bogi Andersen, Padhraic Smyth: Bayesian detection of non-sinusoidal periodic patterns in circadian expression data. Bioinformatics 25(23): 3114-3120 (2009)

Alexander T. Ihler, David A. McAllester: Particle Belief Propagation. Journal of Machine Learning Research - Proceedings Track 5: 256-263 (2009)

Alexander T. Ihler, Andrew J. Frank, Padhraic Smyth: Particle-based Variational Inference for Continuous Systems. NIPS 2009: 826-834

Danny Bickson, Alexander T. Ihler, Danny Dolev: A Low Density Lattice Decoder via Non-Parametric Belief Propagation. CoRR abs/0901.3197 (2009)

Danny Bickson, Harel Avissar, Danny Dolev, Stephen P. Boyd, Alexander T. Ihler, Dror Baron: Distributed Fault Identification via Non-parametric Belief Propagation. CoRR abs/0908.2005 (2009)

Jon Hutchins, Alexander T. Ihler, Padhraic Smyth: Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 94-114

Ian Porteous, David Newman, Alexander T. Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling: Fast collapsed gibbs sampling for latent dirichlet allocation. KDD 2008: 569-577

Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu, Özgür Sümer: Adaptive inference on general graphical models. UAI 2008: 1-8

Alexander T. Ihler, Jon Hutchins, Padhraic Smyth: Learning to detect events with Markov-modulated poisson processes. TKDD 1(3) (2007)

Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu: Efficient Bayesian Inference for Dynamically Changing Graphs. NIPS 2007

Alexander T. Ihler: Accuracy Bounds for Belief Propagation. UAI 2007: 183-190

Alexander T. Ihler, Jon Hutchins, Padhraic Smyth: Adaptive event detection with time-varying poisson processes. KDD 2006: 207-216

Alexander T. Ihler, Padhraic Smyth: Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models. NIPS 2006: 625-632

Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Loopy Belief Propagation: Convergence and Effects of Message Errors. Journal of Machine Learning Research 6: 905-936 (2005)

Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky: Nonparametric belief propagation for self-localization of sensor networks. IEEE Journal on Selected Areas in Communications 23(4): 809-819 (2005)

Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Nonparametric hypothesis tests for statistical dependency. IEEE Transactions on Signal Processing 52(8): 2234-2249 (2004)

Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky: Nonparametric belief propagation for self-calibration in sensor networks. IPSN 2004: 225-233

Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Message Errors in Belief Propagation. NIPS 2004

Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky: Nonparametric Belief Propagation. CVPR (1) 2003: 605-612

Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Hypothesis Testing over Factorizations for Data Association. IPSN 2003: 239-253

Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky: Efficient Multiscale Sampling from Products of Gaussian Mixtures. NIPS 2003

John W. Fisher III, Alexander T. Ihler, Paul A. Viola: Learning Informative Statistics: A Nonparametnic Approach. NIPS 1999: 900-906