Ihler, Alexander

53 publications

AISTATS 2025 Graph-Based Complexity for Causal Effect by Empirical Plug-in Rina Dechter, Anna K Raichev, Jin Tian, Alexander Ihler

UAI 2024 Value-Based Abstraction Functions for Abstraction Sampling Bobak Pezeshki, Kalev Kask, Alexander Ihler, Rina Dechter

UAI 2023 Boosting AND/OR-Based Computational Protein Design: Dynamic Heuristics and Generalizable UFO Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter

AAAI 2023 Design Amortization for Bayesian Optimal Experimental Design Noble Kennamer, Steven Walton, Alexander Ihler

UAI 2022 AND/OR Branch-and-Bound for Computational Protein Design Optimizing K* Bobak Pezeshki, Radu Marinescu, Alexander Ihler, Rina Dechter

ICML 2022 Be like Water: Adaptive Floating Point for Machine Learning Thomas Yeh, Max Sterner, Zerlina Lai, Brandon Chuang, Alexander Ihler

ICML 2022 Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks Litian Liang, Yaosheng Xu, Stephen Mcaleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox

NeurIPSW 2021 Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates Litian Liang, Yaosheng Xu, Stephen Marcus McAleer, Dailin Hu, Alexander Ihler, Pieter Abbeel, Roy Fox

IJCAI 2020 Scaling up AND/OR Abstraction Sampling Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander Ihler, Rina Dechter

UAI 2019 A Weighted Mini-Bucket Bound for Solving Influence Diagram Junkyu Lee, Radu Marinescu, Alexander Ihler, Rina Dechter

AAAI 2019 Anytime Recursive Best-First Search for Bounding Marginal MAP Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler

CVPRW 2019 Empirical Study of MC-Dropout in Various Astronomical Observing Conditions Noble Kennamer, Alexander Ihler, David Kirkby

AAAI 2019 Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms Qi Lou, Rina Dechter, Alexander Ihler

JAIR 2018 AND/OR Search for Marginal MAP Radu Marinescu, Junkyu Lee, Rina Dechter, Alexander Ihler

UAI 2018 Abstraction Sampling in Graphical Models Filjor Broka, Rina Dechter, Alexander Ihler, Kalev Kask

ECCV 2018 Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation Shaofei Wang, Alexander Ihler, Konrad Kording, Julian Yarkony

AAAI 2018 Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP Qi Lou, Rina Dechter, Alexander Ihler

ICML 2018 ContextNet: Deep Learning for Star Galaxy Classification Noble Kennamer, David Kirkby, Alexander Ihler, Francisco Javier Sanchez-Lopez

UAI 2018 Finite-Sample Bounds for Marginal MAP Qi Lou, Rina Dechter, Alexander Ihler

UAI 2018 Join Graph Decomposition Bounds for Influence Diagrams Junkyu Lee, Alexander Ihler, Rina Dechter

AAAI 2018 Lifted Generalized Dual Decomposition Nicholas Gallo, Alexander Ihler

IJCAI 2018 Stochastic Anytime Search for Bounding Marginal MAP Radu Marinescu, Rina Dechter, Alexander Ihler

AAAI 2017 Anytime Anyspace AND/OR Search for Bounding the Partition Function Qi Lou, Rina Dechter, Alexander Ihler

AAAI 2017 Anytime Best+Depth-First Search for Bounding Marginal MAP Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter

AISTATS 2017 Belief Propagation in Conditional RBMs for Structured Prediction Wei Ping, Alexander Ihler

UAI 2017 Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017 Gal Elidan, Kristian Kersting, Alexander Ihler

AAAI 2016 From Exact to Anytime Solutions for Marginal MAP Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander Ihler

UAI 2016 Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA Alexander Ihler, Dominik Janzing

UAI 2015 Estimating the Partition Function by Discriminance Sampling Qiang Liu, Jian Peng, Alexander Ihler, John W. Fisher Iii

UAI 2015 Incremental Region Selection for Mini-Bucket Elimination Bounds Sholeh Forouzan, Alexander Ihler

IJCAI 2015 Pushing Forward Marginal MAP with Best-First Search Radu Marinescu, Rina Dechter, Alexander Ihler

UAI 2014 AND/OR Search for Marginal MAP Radu Marinescu, Rina Dechter, Alexander Ihler

ACML 2013 Linear Approximation to ADMM for MAP Inference Sholeh Forouzan, Alexander Ihler

JMLR 2013 Using Symmetry and Evolutionary Search to Minimize Sorting Networks Qiang Liu, Alexander Ihler

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

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

UAI 2012 Belief Propagation for Structured Decision Making Qiang Liu, Alexander Ihler

ICML 2012 Distributed Parameter Estimation via Pseudo-Likelihood Qiang Liu, Alexander Ihler

ECCV 2012 Fast Planar Correlation Clustering for Image Segmentation Julian Yarkony, Alexander Ihler, Charless C. Fowlkes

UAI 2012 Join-Graph Based Cost-Shifting Schemes Alexander Ihler, Natalia Flerova, Rina Dechter, Lars Otten

ICML 2011 Bounding the Partition Function Using Holder's Inequality Qiang Liu, Alexander Ihler

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

AISTATS 2011 Learning Scale Free Networks by Reweighted $\ell_1$ Regularization Qiang Liu, Alexander Ihler

AISTATS 2011 Multicore Gibbs Sampling in Dense, Unstructured Graphs Tianbing Xu, Alexander Ihler

UAI 2011 Planar Cycle Covering Graphs Julian Yarkony, Alexander Ihler, Charless C. Fowlkes

AISTATS 2011 Revisiting MAP Estimation, Message Passing and Perfect Graphs James Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler

UAI 2011 Tightening MRF Relaxations with Planar Subproblems Julian Yarkony, Ragib Morshed, Alexander Ihler, Charless C. Fowlkes

UAI 2011 Variational Algorithms for Marginal MAP Qiang Liu, Alexander Ihler

CVPR 2010 Covering Trees and Lower-Bounds on Quadratic Assignment Julian Yarkony, Charless C. Fowlkes, Alexander Ihler

AISTATS 2010 Learning with Blocks: Composite Likelihood and Contrastive Divergence Arthur Asuncion, Qiang Liu, Alexander Ihler, Padhraic Smyth

UAI 2010 Negative Tree Reweighted Belief Propagation Qiang Liu, Alexander Ihler

AISTATS 2009 Particle Belief Propagation Alexander Ihler, David McAllester

UAI 2007 Accuracy Bounds for Belief Propagation Alexander Ihler