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Alexander Ihler

Alexander T. Ihler – Alex H. Ihler

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affiliation: University of California, Irvine, Department of Computer Science

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2005
[b1]
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Alexander T. Ihler:
Inference in sensor networks: graphical models and particle methods. Massachusetts Institute of Technology, Cambridge, MA, USA, 2005

Journal Articles

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2023
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Shivam Garg, Alexander Ihler, Elizabeth Serena Bentley, Sunil Kumar:
A Cross-Layer, Mobility, and Congestion-Aware Routing Protocol for UAV Networks. IEEE Trans. Aerosp. Electron. Syst. 59(4): 3778-3796 (2023)
2020
[j18]
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Yixuan Ma, Zhenji Zhang, Alexander Ihler:
Multi-Lane Short-Term Traffic Forecasting With Convolutional LSTM Network. IEEE Access 8: 34629-34643 (2020)
[j17]
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Yixuan Ma, Zhenji Zhang, Alexander Ihler:
A Deep Choice Model for Hiring Outcome Prediction in Online Labor Markets. Int. J. Comput. Commun. Control 15(2) (2020)
2018
[j16]
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Yixuan Ma, Zhenji Zhang, Alexander Ihler, Baoxiang Pan:
Estimating Warehouse Rental Price using Machine Learning Techniques. Int. J. Comput. Commun. Control 13(2): 235-250 (2018)
[j15]
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Radu Marinescu, Junkyu Lee, Rina Dechter, Alexander Ihler:
AND/OR Search for Marginal MAP. J. Artif. Intell. Res. 63: 875-921 (2018)
2014
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Andrew J. Frank, Padhraic Smyth, Alexander Ihler:
Beyond MAP Estimation With the Track-Oriented Multiple Hypothesis Tracker. IEEE Trans. Signal Process. 62(9): 2413-2423 (2014)
[j13]
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Shan Jiang, Behzad Sajadi, Alexander Ihler, M. Gopi:
Optimizing redundant-data clustering for interactive walkthrough applications. Vis. Comput. 30(6-8): 637-647 (2014)
2013
[j12]
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Qiang Liu, Alexander Ihler:
Variational algorithms for marginal MAP. J. Mach. Learn. Res. 14(1): 3165-3200 (2013)
2012
[j11]
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Alexander Ihler, David Newman:
Understanding Errors in Approximate Distributed Latent Dirichlet Allocation. IEEE Trans. Knowl. Data Eng. 24(5): 952-960 (2012)
2011
[j10]
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Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu:
Adaptive Exact Inference in Graphical Models. J. Mach. Learn. Res. 12: 3147-3186 (2011)
[j9]
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Danny Bickson, Dror Baron, Alexander Ihler, Harel Avissar, Danny Dolev:
Fault Identification Via Nonparametric Belief Propagation. IEEE Trans. Signal Process. 59(6): 2602-2613 (2011)
2010
[j8]
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Qiang Liu, Kevin K. Lin, Bogi Andersen, Padhraic Smyth, Alexander Ihler:
Estimating replicate time shifts using Gaussian process regression. Bioinform. 26(6): 770-776 (2010)
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Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky:
Nonparametric belief propagation. Commun. ACM 53(10): 95-103 (2010)
2009
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Darya Chudova, Alexander Ihler, Kevin K. Lin, Bogi Andersen, Padhraic Smyth:
Bayesian detection of non-sinusoidal periodic patterns in circadian expression data. Bioinform. 25(23): 3114-3120 (2009)
2007
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Alexander T. Ihler, Jon Hutchins, Padhraic Smyth:
Learning to detect events with Markov-modulated poisson processes. ACM Trans. Knowl. Discov. Data 1(3): 13 (2007)
2006
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Müjdat Çetin, Lei Chen, John W. Fisher III, Alexander T. Ihler, Randolph L. Moses, Martin J. Wainwright, Alan S. Willsky:
Distributed fusion in sensor networks. IEEE Signal Process. Mag. 23(4): 42-55 (2006)
2005
[j3]
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Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Loopy Belief Propagation: Convergence and Effects of Message Errors. J. Mach. Learn. Res. 6: 905-936 (2005)
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Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky:
Nonparametric belief propagation for self-localization of sensor networks. IEEE J. Sel. Areas Commun. 23(4): 809-819 (2005)
2004
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Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Nonparametric hypothesis tests for statistical dependency. IEEE Trans. Signal Process. 52(8): 2234-2249 (2004)

Conference and Workshop Papers

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2023
[c87]
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Noble Kennamer, Steven Walton, Alexander Ihler:
Design Amortization for Bayesian Optimal Experimental Design. AAAI 2023: 8220-8227
[c86]
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Shreyas Devaraju, Alexander Ihler, Sunil Kumar:
A Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks. CCNC 2023: 1-6
[c85]
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Shreyas Devaraju, Alexander Ihler, Sunil Kumar:
A Deep Q-Learning Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks. ICNC 2023: 575-580
[c84]
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Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter:
Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO. UAI 2023: 1662-1672
2022
[c83]
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Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox:
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. ICML 2022: 13285-13301
[c82]
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Thomas Yeh, Max Sterner, Zerlina Lai, Brandon Chuang, Alexander Ihler:
Be Like Water: Adaptive Floating Point for Machine Learning. ICML 2022: 25490-25500
[c81]
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Sakshi Agarwal, Kalev Kask, Alexander Ihler, Rina Dechter:
NeuroBE: Escalating neural network approximations of Bucket Elimination. UAI 2022: 11-21
[c80]
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Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter:
AND/OR branch-and-bound for computational protein design optimizing K. UAI 2022: 1602-1612
2020
[c79]
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Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander Ihler, Rina Dechter:
Scaling Up AND/OR Abstraction Sampling. IJCAI 2020: 4266-4274
[c78]
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Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany:
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. SSCI 2020: 3115-3124
2019
[c77]
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Qi Lou, Rina Dechter, Alexander Ihler:
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms. AAAI 2019: 7900-7907
[c76]
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Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler:
Anytime Recursive Best-First Search for Bounding Marginal MAP. AAAI 2019: 7924-7932
[c75]
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Noble Kennamer, Alexander Ihler, David Kirkby:
Empirical Study of MC-Dropout in Various Astronomical Observing Conditions. CVPR Workshops 2019: 17-20
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Junkyu Lee, Radu Marinescu, Alexander Ihler, Rina Dechter:
A Weighted Mini-Bucket Bound for Solving Influence Diagram. UAI 2019: 1159-1168
2018
[c73]
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Junkyu Lee, Alexander Ihler, Rina Dechter:
Generalized Dual Decomposition for Bounding Maximum Expected Utility of Influence Diagrams with Perfect Recall. AAAI Workshops 2018: 674-681
[c72]
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Nicholas Gallo, Alexander Ihler:
Lifted Generalized Dual Decomposition. AAAI 2018: 6351-6358
[c71]
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Qi Lou, Rina Dechter, Alexander Ihler:
Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP. AAAI 2018: 6392-6400
[c70]
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Shaofei Wang, Alexander Ihler, Konrad P. Körding, Julian Yarkony:
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation. ECCV (14) 2018: 677-692
[c69]
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Noble Kennamer, David Kirkby, Alexander Ihler, Francisco Javier Sanchez-Lopez:
ContextNet: Deep learning for Star Galaxy Classification. ICML 2018: 2587-2595
[c68]
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Radu Marinescu, Rina Dechter, Alexander Ihler:
Stochastic Anytime Search for Bounding Marginal MAP. IJCAI 2018: 5074-5081
[c67]
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Nicholas Gallo, Alexander Ihler:
Lifted Weighted Mini-Bucket. NeurIPS 2018: 10350-10358
[c66]
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Filjor Broka, Rina Dechter, Alexander Ihler, Kalev Kask:
Abstraction Sampling in Graphical Models. UAI 2018: 632-641
[c65]
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Qi Lou, Rina Dechter, Alexander Ihler:
Finite-sample Bounds for Marginal MAP. UAI 2018: 725-734
[c64]
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Junkyu Lee, Alexander Ihler, Rina Dechter:
Join Graph Decomposition Bounds for Influence Diagrams. UAI 2018: 1053-1062
2017
[c63]
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Qi Lou, Rina Dechter, Alexander Ihler:
Anytime Anyspace AND/OR Search for Bounding the Partition Function. AAAI 2017: 860-867
[c62]
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Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter:
Anytime Best+Depth-First Search for Bounding Marginal MAP. AAAI 2017: 3775-3782
[c61]
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Wei Ping, Alexander Ihler:
Belief Propagation in Conditional RBMs for Structured Prediction. AISTATS 2017: 1141-1149
[c60]
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Qi Lou, Rina Dechter, Alexander Ihler:
Dynamic Importance Sampling for Anytime Bounds of the Partition Function. NIPS 2017: 3196-3204
2016
[c59]
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Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler:
From Exact to Anytime Solutions for Marginal MAP. AAAI 2016: 3255-3262
[c58]
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  - conf/cec/TaoGIHS16
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Yumeng Tao, Xiaogang Gao, Alexander Ihler, Kuolin Hsu, Soroosh Sorooshian:
Deep neural networks for precipitation estimation from remotely sensed information. CEC 2016: 1349-1355
[c57]
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Blerim Cici, Emmanouil Alimpertis, Alexander Ihler, Athina Markopoulou:
Cell-to-cell activity prediction for smart cities. INFOCOM Workshops 2016: 903-908
[c56]
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Wei Ping, Qiang Liu, Alexander Ihler:
Learning Infinite RBMs with Frank-Wolfe. NIPS 2016: 3063-3071
2015
[c55]
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Qiang Liu, Alexander Ihler, John W. Fisher III:
Boosting crowdsourcing with expert labels: Local vs. global effects. FUSION 2015: 9-14
[c54]
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Radu Marinescu, Rina Dechter, Alexander Ihler:
Pushing Forward Marginal MAP with Best-First Search. IJCAI 2015: 696-702
[c53]
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Qiang Liu, John W. Fisher III, Alexander Ihler:
Probabilistic Variational Bounds for Graphical Models. NIPS 2015: 1432-1440
[c52]
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Wei Ping, Qiang Liu, Alexander Ihler:
Decomposition Bounds for Marginal MAP. NIPS 2015: 3267-3275
[c51]
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Sholeh Forouzan, Alexander Ihler:
Incremental Region Selection for Mini-bucket Elimination Bounds. UAI 2015: 268-277
[c50]
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Qiang Liu, Jian Peng, Alexander Ihler, John W. Fisher III:
Estimating the Partition Function by Discriminance Sampling. UAI 2015: 514-522
2014
[c49]
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Wei Ping, Qiang Liu, Alexander Ihler:
Marginal Structured SVM with Hidden Variables. ICML 2014: 190-198
[c48]
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Qiang Liu, Alexander Ihler:
Distributed Estimation, Information Loss and Exponential Families. NIPS 2014: 1098-1106
[c47]
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William Lam, Kalev Kask, Rina Dechter, Alexander Ihler:
Beyond Static Mini-Bucket: Towards Integrating with Iterative Cost-Shifting Based Dynamic Heuristics. SOCS 2014: 105-113
[c46]
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Radu Marinescu, Rina Dechter, Alexander Ihler:
AND/OR Search for Marginal MAP. UAI 2014: 563-572
2013
[c45]
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Sholeh Forouzan, Alexander Ihler:
Linear Approximation to ADMM for MAP inference. ACML 2013: 48-61
[c44]
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Behzad Sajadi, Duy-Quoc Lai, Alex H. Ihler, Meenakshisundaram Gopi, Aditi Majumder:
Image enhancement in projectors via optical pixel shift and overlay. ICCP 2013: 1-10
[c43]
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Qiang Liu, Alexander Ihler, Mark Steyvers:
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NIPS 2013: 1914-1922
[c42]
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Qiang Cheng, Qiang Liu, Feng Chen, Alexander Ihler:
Variational Planning for Graph-based MDPs. NIPS 2013: 2976-2984
2012
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Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu, Alexander Ihler:
Approximating the Sum Operation for Marginal-MAP Inference. AAAI 2012: 1882-1887
[c40]
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Julian Yarkony, Alexander Ihler, Charless C. Fowlkes:
Fast Planar Correlation Clustering for Image Segmentation. ECCV (6) 2012: 568-581
[c39]
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Qiang Liu, Alexander Ihler:
Distributed Parameter Estimation via Pseudo-likelihood . ICML 2012
[c38]
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Qiang Liu, Jian Peng, Alexander Ihler:
Variational Inference for Crowdsourcing. NIPS 2012: 701-709
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Andrew J. Frank, Padhraic Smyth, Alexander Ihler:
A graphical model representation of the track-oriented multiple hypothesis tracker. SSP 2012: 768-771
[c36]
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Alexander Ihler, Natalia Flerova, Rina Dechter, Lars Otten:
Join-graph based cost-shifting schemes. UAI 2012: 397-406
[c35]
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Qiang Liu, Alexander Ihler:
Belief Propagation for Structured Decision Making. UAI 2012: 523-532
[c34]
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Max Welling, Andrew Gelfand, Alexander Ihler:
A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. UAI 2012: 883-892
2011
[c33]
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Özgür Sümer, Umut A. Acar, Alexander Ihler, Ramgopal R. Mettu:
Fast Parallel and Adaptive Updates for Dual-Decomposition Solvers. AAAI 2011: 1076-1082
[c32]
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Alexander Ihler:
Session MP3a: Graphical models in signal processing II. ACSCC 2011: 394-396
[c31]
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Qiang Liu, Alexander Ihler:
Bounding the Partition Function using Holder's Inequality. ICML 2011: 849-856
[c30]
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Qiang Liu, Alexander Ihler:
Variational Algorithms for Marginal MAP. UAI 2011: 453-462
[c29]
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Julian Yarkony, Alexander Ihler, Charless C. Fowlkes:
Planar Cycle Covering Graphs. UAI 2011: 761-769
[c28]
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Julian Yarkony, Ragib Morshed, Alexander Ihler, Charless C. Fowlkes:
Tightening MRF Relaxations with Planar Subproblems. UAI 2011: 770-777
[c27]
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Qiang Liu, Alexander Ihler:
Learning Scale Free Networks by Reweighted L1 regularization. AISTATS 2011: 40-48
[c26]
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James R. Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler:
Revisiting MAP Estimation, Message Passing and Perfect Graphs. AISTATS 2011: 278-286
[c25]
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Tianbing Xu, Alexander Ihler:
Multicore Gibbs Sampling in Dense, Unstructured Graphs. AISTATS 2011: 798-806
2010
[c24]
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Julian Yarkony, Charless C. Fowlkes, Alexander Ihler:
Covering trees and lower-bounds on quadratic assignment. CVPR 2010: 887-894
[c23]
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Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler, Padhraic Smyth:
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence. ICML 2010: 47-54
[c22]
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Qiang Liu, Alexander Ihler:
Negative Tree Reweighted Belief Propagation. UAI 2010: 332-339
[c21]
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Arthur U. Asuncion, Qiang Liu, Alexander Ihler, Padhraic Smyth:
Learning with Blocks: Composite Likelihood and Contrastive Divergence. AISTATS 2010: 33-40
2009
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Danny Bickson, Alexander T. Ihler, Harel Avissar, Danny Dolev:
A low density lattice decoder via non-parametric belief propagation. Allerton 2009: 439-446
[c19]
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Alexander Ihler, Andrew J. Frank, Padhraic Smyth:
Particle-based Variational Inference for Continuous Systems. NIPS 2009: 826-834
[c18]
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Alexander Ihler, David A. McAllester:
Particle Belief Propagation. AISTATS 2009: 256-263
2008
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  - conf/kdd/HutchinsIS08
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Jon Hutchins, Alexander 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
[c16]
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Ian Porteous, David Newman, Alexander Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling:
Fast collapsed gibbs sampling for latent dirichlet allocation. KDD 2008: 569-577
[c15]
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Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu, Özgür Sümer:
Adaptive inference on general graphical models. UAI 2008: 1-8
2007
[c14]
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Özgür Sümer, Umut A. Acar, Alexander Ihler, Ramgopal R. Mettu:
Efficient Bayesian Inference for Dynamically Changing Graphs. NIPS 2007: 1441-1448
[c13]
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Alexander Ihler:
Accuracy Bounds for Belief Propagation. UAI 2007: 183-190
2006
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Alexander Ihler, Jon Hutchins, Padhraic Smyth:
Adaptive event detection with time-varying poisson processes. KDD 2006: 207-216
[c11]
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Alexander T. Ihler, Padhraic Smyth:
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models. NIPS 2006: 625-632
[c10]
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Ian Porteous, Alexander T. Ihler, Padhraic Smyth, Max Welling:
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation. UAI 2006
2005
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Michael Siracusa, Kinh Tieu, Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Estimating dependency and significance for high-dimensional data. ICASSP (5) 2005: 1085-1088
2004
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Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky:
Nonparametric belief propagation for sensor self-calibration. ICASSP (3) 2004: 861-864
[c7]
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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
[c6]
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Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Message Errors in Belief Propagation. NIPS 2004: 609-616
2003
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Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky:
Nonparametric Belief Propagation. CVPR (1) 2003: 605-612
[c4]
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Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Hypothesis Testing over Factorizations for Data Association. IPSN 2003: 239-253
[c3]
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Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky:
Efficient Multiscale Sampling from Products of Gaussian Mixtures. NIPS 2003: 1-8
2001
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Alexander T. Ihler, John W. Fisher III, Alan S. Willsky:
Nonparametric estimators for online signature authentication. ICASSP 2001: 3473-3476
1999
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John W. Fisher III, Alexander T. Ihler, Paul A. Viola:
Learning Informative Statistics: A Nonparametnic Approach. NIPS 1999: 900-906

Editorship

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2017
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Gal Elidan, Kristian Kersting, Alexander Ihler:
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017. AUAI Press 2017 [contents]
2016
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Alexander Ihler, Dominik Janzing:
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA. AUAI Press 2016, ISBN 978-0-9966431-1-5 [contents]

Informal and Other Publications

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2024
[i28]
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Shreyas Devaraju, Shivam Garg, Alexander Ihler, Sunil Kumar:
Pipe Routing with Topology Control for UAV Networks. CoRR abs/2405.04678 (2024)
2023
[i27]
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Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter:
Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO. CoRR abs/2309.00408 (2023)
[i26]
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Shreyas Devaraju, Alexander Ihler, Sunil Kumar:
A Deep Q-Learning based, Base-Station Connectivity-Aware, Decentralized Pheromone Mobility Model for Autonomous UAV Networks. CoRR abs/2311.16409 (2023)
2022
[i25]
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Shivam Garg, Alexander Ihler, Sunil Kumar:
Accurate Link Lifetime Computation in Autonomous Airborne UAV Networks. CoRR abs/2202.00056 (2022)
[i24]
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  - journals/corr/abs-2209-07670
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Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox:
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks. CoRR abs/2209.07670 (2022)
[i23]
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Noble Kennamer, Steven Walton, Alexander Ihler:
Design Amortization for Bayesian Optimal Experimental Design. CoRR abs/2210.03283 (2022)
[i22]
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Shreyas Devaraju, Alexander Ihler, Sunil Kumar:
Connectivity-Aware Pheromone Mobility Model for Autonomous UAV Networks. CoRR abs/2210.06684 (2022)
2021
[i21]
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  - journals/corr/abs-2110-14818
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Litian Liang, Yaosheng Xu, Stephen McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox:
Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates. CoRR abs/2110.14818 (2021)
2020
[i20]
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  - journals/corr/abs-2010-05941
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Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Möller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluís Galbany:
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients. CoRR abs/2010.05941 (2020)
2017
[i19]
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Wei Ping, Alexander Ihler:
Belief Propagation in Conditional RBMs for Structured Prediction. CoRR abs/1703.00986 (2017)
[i18]
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Shaofei Wang, Chong Zhang, Miguel Ángel González Ballester, Alexander Ihler, Julian Yarkony:
Multi-Person Pose Estimation via Column Generation. CoRR abs/1709.05982 (2017)
[i17]
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Wei Ping, Qiang Liu, Alexander Ihler:
Learning Infinite RBMs with Frank-Wolfe. CoRR abs/1710.05270 (2017)
2015
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Wei Ping, Qiang Liu, Alexander Ihler:
Decomposition Bounds for Marginal MAP. CoRR abs/1511.02619 (2015)
2014
[i15]
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Wei Ping, Qiang Liu, Alexander Ihler:
Marginal Structured SVM with Hidden Variables. CoRR abs/1409.1320 (2014)
2013
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Qiang Liu, Alexander Ihler:
Variational Algorithms for Marginal MAP. CoRR abs/1302.6584 (2013)
2012
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  - journals/corr/abs-1202-3742
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Qiang Liu, Alexander Ihler:
Variational Algorithms for Marginal MAP. CoRR abs/1202.3742 (2012)
[i12]
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Julian Yarkony, Ragib Morshed, Alexander T. Ihler, Charless C. Fowlkes:
Tightening MRF Relaxations with Planar Subproblems. CoRR abs/1202.3771 (2012)
[i11]
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Qiang Liu, Alexander Ihler:
Negative Tree Reweighted Belief Propagation. CoRR abs/1203.3494 (2012)
[i10]
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  - journals/corr/abs-1206-3234
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Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu, Özgür Sümer:
Adaptive Inference on General Graphical Models. CoRR abs/1206.3234 (2012)
[i9]
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  - journals/corr/abs-1206-5277
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Alexander T. Ihler:
Accuracy Bounds for Belief Propagation. CoRR abs/1206.5277 (2012)
[i8]
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  - journals/corr/PorteousISW12
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Ian Porteous, Alexander T. Ihler, Padhraic Smyth, Max Welling:
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation. CoRR abs/1206.6845 (2012)
[i7]
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Julian Yarkony, Alexander Ihler, Charless C. Fowlkes:
Fast Planar Correlation Clustering for Image Segmentation. CoRR abs/1208.0378 (2012)
[i6]
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  - journals/corr/abs-1210-4878
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Alexander Ihler, Natalia Flerova, Rina Dechter, Lars Otten:
Join-graph based cost-shifting schemes. CoRR abs/1210.4878 (2012)
[i5]
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Qiang Liu, Alexander Ihler:
Belief Propagation for Structured Decision Making. CoRR abs/1210.4897 (2012)
[i4]
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  - journals/corr/abs-1210-4916
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Max Welling, Andrew E. Gelfand, Alexander Ihler:
A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. CoRR abs/1210.4916 (2012)
2011
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Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes:
Planar Cycle Covering Graphs. CoRR abs/1104.1204 (2011)
2009
[i2]
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  - journals/corr/abs-0901-3197
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Danny Bickson, Alexander T. Ihler, Danny Dolev:
A Low Density Lattice Decoder via Non-Parametric Belief Propagation. CoRR abs/0901.3197 (2009)
[i1]
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  - journals/corr/abs-0908-2005
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Danny Bickson, Harel Avissar, Danny Dolev, Stephen P. Boyd, Alexander Ihler, Dror Baron:
Distributed Fault Identification via Non-parametric Belief Propagation. CoRR abs/0908.2005 (2009)

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