Alexander T. Ihler

	2012
43		Qiang Liu, Alexander T. Ihler: Variational Algorithms for Marginal MAP CoRR abs/1202.3742: (2012)
42		Julian Yarkony, Ragib Morshed, Alexander T. Ihler, Charless C. Fowlkes: Tightening MRF Relaxations with Planar Subproblems CoRR abs/1202.3771: (2012)
41		Qiang Liu, Alexander T. Ihler: Negative Tree Reweighted Belief Propagation CoRR abs/1203.3494: (2012)
40		Alexander T. Ihler, David Newman: Understanding Errors in Approximate Distributed Latent Dirichlet Allocation. IEEE Trans. Knowl. Data Eng. 24(5): 952-960 (2012)
	2011
39		Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu: Fast Parallel and Adaptive Updates for Dual-Decomposition Solvers. AAAI 2011
38		Qiang Liu, Alexander T. Ihler: Bounding the Partition Function using Holder's Inequality. ICML 2011: 849-856
37		Qiang Liu, Alexander T. Ihler: Variational Algorithms for Marginal MAP. UAI 2011: 453-462
36		Julian Yarkony, Alexander T. Ihler, Charless Fowlkes: Planar Cycle Covering Graphs. UAI 2011: 761-769
35		Julian Yarkony, Ragib Morshed, Alexander T. Ihler, Charless Fowlkes: Tightening MRF Relaxations with Planar Subproblems. UAI 2011: 770-777
34		Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes: Planar Cycle Covering Graphs CoRR abs/1104.1204: (2011)
33		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)
32		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)
31		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)
30		Qiang Liu, Alexander T. Ihler: Learning Scale Free Networks by Reweighted L1 regularization. Journal of Machine Learning Research - Proceedings Track 15: 40-48 (2011)
29		Tianbing Xu, Alexander T. Ihler: Multicore Gibbs Sampling in Dense, Unstructured Graphs. Journal of Machine Learning Research - Proceedings Track 15: 798-806 (2011)
	2010
28		Julian Yarkony, Charless C. Fowlkes, Alexander T. Ihler: Covering trees and lower-bounds on quadratic assignment. CVPR 2010: 887-894
27		Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler, Padhraic Smyth: Particle Filtered MCMC-MLE with Connections to Contrastive Divergence. ICML 2010: 47-54
26		Qiang Liu, Alexander T. Ihler: Negative Tree Reweighted Belief Propagation. UAI 2010: 332-339
25		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)
24		Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky: Nonparametric belief propagation. Commun. ACM 53(10): 95-103 (2010)
23		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)
	2009
22		Alexander T. Ihler, Andrew J. Frank, Padhraic Smyth: Particle-based Variational Inference for Continuous Systems. NIPS 2009: 826-834
21		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)
20		Danny Bickson, Alexander T. Ihler, Danny Dolev: A Low Density Lattice Decoder via Non-Parametric Belief Propagation CoRR abs/0901.3197: (2009)
19		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)
18		Alexander T. Ihler, David A. McAllester: Particle Belief Propagation. Journal of Machine Learning Research - Proceedings Track 5: 256-263 (2009)
	2008
17		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
16		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
15		Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu, Özgür Sümer: Adaptive inference on general graphical models. UAI 2008: 1-8
	2007
14		Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu: Efficient Bayesian Inference for Dynamically Changing Graphs. NIPS 2007
13		Alexander T. Ihler: Accuracy Bounds for Belief Propagation. UAI 2007: 183-190
12		Alexander T. Ihler, Jon Hutchins, Padhraic Smyth: Learning to detect events with Markov-modulated poisson processes. TKDD 1(3): (2007)
	2006
11		Alexander T. Ihler, Jon Hutchins, Padhraic Smyth: Adaptive event detection with time-varying poisson processes. KDD 2006: 207-216
10		Alexander T. Ihler, Padhraic Smyth: Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models. NIPS 2006: 625-632
	2005
9		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)
8		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)
	2004
7		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
6		Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Message Errors in Belief Propagation. NIPS 2004
5		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)
	2003
4		Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky: Nonparametric Belief Propagation. CVPR (1) 2003: 605-612
3		Alexander T. Ihler, John W. Fisher III, Alan S. Willsky: Hypothesis Testing over Factorizations for Data Association. IPSN 2003: 239-253
2		Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky: Efficient Multiscale Sampling from Products of Gaussian Mixtures. NIPS 2003
	1999
1		John W. Fisher III, Alexander T. Ihler, Paul A. Viola: Learning Informative Statistics: A Nonparametnic Approach. NIPS 1999: 900-906

Coauthor Index

1	Umut A. Acar	[14] [15] [32] [39]
2	Bogi Andersen	[21] [25]
3	Arthur U. Asuncion	[17] [23] [27]
4	Harel Avissar	[19] [33]
5	Dror Baron	[19] [33]
6	Danny Bickson	[19] [20] [33]
7	Stephen P. Boyd	[19]
8	Darya Chudova	[21]
9	Danny Dolev	[19] [20] [33]
10	John W. Fisher III	[1] [3] [5] [6] [7] [8] [9]
11	James R. Foulds	[31]
12	Charless C. Fowlkes (Charless Fowlkes)	[28] [34] [35] [36] [42]
13	Andrew J. Frank	[22]
14	William T. Freeman	[2] [4] [24]
15	Jon Hutchins	[11] [12] [16]
16	Michael Isard	[24]
17	Kevin K. Lin	[21] [25]
18	Qiang Liu	[23] [25] [26] [27] [30] [37] [38] [41] [43]
19	David A. McAllester	[18]
20	Ramgopal R. Mettu	[14] [15] [32] [39]
21	Ragib Morshed	[35] [42]
22	Randolph L. Moses	[7] [9]
23	Nicholas Navaroli	[31]
24	David Newman	[17] [40]
25	Ian Porteous	[17]
26	Padhraic Smyth	[10] [11] [12] [16] [17] [21] [22] [23] [25] [27] [31]
27	Erik B. Sudderth	[2] [4] [24]
28	Özgür Sümer	[14] [15] [32] [39]
29	Paul A. Viola	[1]
30	Max Welling	[17]
31	Alan S. Willsky	[2] [3] [4] [5] [6] [7] [8] [9] [24]
32	Tianbing Xu	[29]
33	Julian Yarkony	[28] [34] [35] [36] [42]

Colors in the list of coauthors

Last update Thu May 31 18:55:10 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page