Alexander T. Ihler

ORCID

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 34

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Bobak Pezeshki, Radu Marinescu, Alexander T. Ihler, Rina Dechter
AND/OR branch-and-bound for computational protein design optimizing K. UAI (2022)
Noble Kennamer, Steven Walton, Alexander T. Ihler
Design Amortization for Bayesian Optimal Experimental Design. CoRR (2022)
Yixuan Ma, Zhenji Zhang, Alexander T. Ihler
Multi-Lane Short-Term Traffic Forecasting With Convolutional LSTM Network. IEEE Access 8 (2020)
Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander T. Ihler, Rina Dechter
Scaling Up AND/OR Abstraction Sampling. IJCAI (2020)
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander T. 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 (2020)
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander T. 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)
Yixuan Ma, Zhenji Zhang, Alexander T. Ihler
A Deep Choice Model for Hiring Outcome Prediction in Online Labor Markets. Int. J. Comput. Commun. Control 15 (2) (2020)
Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander T. Ihler
Anytime Recursive Best-First Search for Bounding Marginal MAP. AAAI (2019)
Noble Kennamer, Alexander T. Ihler, David Kirkby
Empirical Study of MC-Dropout in Various Astronomical Observing Conditions. CVPR Workshops (2019)
Qi Lou, Rina Dechter, Alexander T. Ihler
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms. AAAI (2019)
Junkyu Lee, Radu Marinescu, Alexander T. Ihler, Rina Dechter
A Weighted Mini-Bucket Bound for Solving Influence Diagram. UAI (2019)
Radu Marinescu, Rina Dechter, Alexander T. Ihler
Stochastic Anytime Search for Bounding Marginal MAP. IJCAI (2018)
Shaofei Wang, Alexander T. Ihler, Konrad P. Körding, Julian Yarkony
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation. ECCV (14) (2018)
Noble Kennamer, David Kirkby, Alexander T. Ihler, Francisco Javier Sanchez-Lopez
ContextNet: Deep learning for Star Galaxy Classification. ICML (2018)
Junkyu Lee, Alexander T. Ihler, Rina Dechter
Generalized Dual Decomposition for Bounding Maximum Expected Utility of Influence Diagrams with Perfect Recall. AAAI Workshops (2018)
Qi Lou, Rina Dechter, Alexander T. Ihler
Finite-sample Bounds for Marginal MAP. UAI (2018)
Filjor Broka, Rina Dechter, Alexander T. Ihler, Kalev Kask
Abstraction Sampling in Graphical Models. UAI (2018)
Nicholas Gallo, Alexander T. Ihler
Lifted Weighted Mini-Bucket. NeurIPS (2018)
Nicholas Gallo, Alexander T. Ihler
Lifted Generalized Dual Decomposition. AAAI (2018)
Radu Marinescu, Junkyu Lee, Rina Dechter, Alexander T. Ihler
AND/OR Search for Marginal MAP. J. Artif. Intell. Res. 63 (2018)
Yixuan Ma, Zhenji Zhang, Alexander T. Ihler, Baoxiang Pan
Estimating Warehouse Rental Price using Machine Learning Techniques. Int. J. Comput. Commun. Control 13 (2) (2018)
Junkyu Lee, Alexander T. Ihler, Rina Dechter
Join Graph Decomposition Bounds for Influence Diagrams. UAI (2018)
Qi Lou, Rina Dechter, Alexander T. Ihler
Anytime Anyspace AND/OR Best-First Search for Bounding Marginal MAP. AAAI (2018)
Wei Ping, Alexander T. Ihler
Belief Propagation in Conditional RBMs for Structured Prediction. AISTATS (2017)
Shaofei Wang, Chong Zhang, Miguel Ángel González Ballester, Alexander T. Ihler, Julian Yarkony
Multi-Person Pose Estimation via Column Generation. CoRR (2017)
Wei Ping, Alexander T. Ihler
Belief Propagation in Conditional RBMs for Structured Prediction. CoRR (2017)
Qi Lou, Rina Dechter, Alexander T. Ihler
Anytime Anyspace AND/OR Search for Bounding the Partition Function. AAAI (2017)
Qi Lou, Rina Dechter, Alexander T. Ihler
Dynamic Importance Sampling for Anytime Bounds of the Partition Function. NIPS (2017)
Radu Marinescu, Junkyu Lee, Alexander T. Ihler, Rina Dechter
Anytime Best+Depth-First Search for Bounding Marginal MAP. AAAI (2017)
Wei Ping, Qiang Liu, Alexander T. Ihler
Learning Infinite RBMs with Frank-Wolfe. CoRR (2017)
Yumeng Tao, Xiaogang Gao, Alexander T. Ihler, Kuolin Hsu, Soroosh Sorooshian
Deep neural networks for precipitation estimation from remotely sensed information. CEC (2016)
Blerim Cici, Emmanouil Alimpertis, Alexander T. Ihler, Athina Markopoulou
Cell-to-cell activity prediction for smart cities. INFOCOM Workshops (2016)
Wei Ping, Qiang Liu, Alexander T. Ihler
Learning Infinite RBMs with Frank-Wolfe. NIPS (2016)
Junkyu Lee, Radu Marinescu, Rina Dechter, Alexander T. Ihler
From Exact to Anytime Solutions for Marginal MAP. AAAI (2016)
Wei Ping, Qiang Liu, Alexander T. Ihler
Decomposition Bounds for Marginal MAP. NIPS (2015)
Wei Ping, Qiang Liu, Alexander T. Ihler
Decomposition Bounds for Marginal MAP. CoRR (2015)
Sholeh Forouzan, Alexander T. Ihler
Incremental Region Selection for Mini-bucket Elimination Bounds. UAI (2015)
Qiang Liu, John W. Fisher III, Alexander T. Ihler
Probabilistic Variational Bounds for Graphical Models. NIPS (2015)
Qiang Liu, Alexander T. Ihler, John W. Fisher III
Boosting crowdsourcing with expert labels: Local vs. global effects. FUSION (2015)
Radu Marinescu, Rina Dechter, Alexander T. Ihler
Pushing Forward Marginal MAP with Best-First Search. IJCAI (2015)
Qiang Liu, Jian Peng, Alexander T. Ihler, John W. Fisher III
Estimating the Partition Function by Discriminance Sampling. UAI (2015)
William Lam, Kalev Kask, Rina Dechter, Alexander T. Ihler
Beyond Static Mini-Bucket: Towards Integrating with Iterative Cost-Shifting Based Dynamic Heuristics. SOCS (2014)
Wei Ping, Qiang Liu, Alexander T. Ihler
Marginal Structured SVM with Hidden Variables. ICML (2014)
Wei Ping, Qiang Liu, Alexander T. Ihler
Marginal Structured SVM with Hidden Variables. CoRR (2014)
Qiang Liu, Alexander T. Ihler
Distributed Estimation, Information Loss and Exponential Families. NIPS (2014)
Radu Marinescu, Rina Dechter, Alexander T. Ihler
AND/OR Search for Marginal MAP. UAI (2014)
Shan Jiang, Behzad Sajadi, Alexander T. Ihler, M. Gopi
Optimizing redundant-data clustering for interactive walkthrough applications. Vis. Comput. 30 (6-8) (2014)
Andrew J. Frank, Padhraic Smyth, Alexander T. Ihler
Beyond MAP Estimation With the Track-Oriented Multiple Hypothesis Tracker. IEEE Trans. Signal Process. 62 (9) (2014)
Sholeh Forouzan, Alexander T. Ihler
Linear Approximation to ADMM for MAP inference. ACML (2013)
Qiang Liu, Alexander T. Ihler
Variational Algorithms for Marginal MAP CoRR (2013)
Qiang Liu, Alexander T. Ihler
Variational algorithms for marginal MAP. J. Mach. Learn. Res. 14 (1) (2013)
Qiang Cheng, Qiang Liu, Feng Chen, Alexander T. Ihler
Variational Planning for Graph-based MDPs. NIPS (2013)
Qiang Liu, Alexander T. Ihler, Mark Steyvers
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NIPS (2013)
Behzad Sajadi, Duy-Quoc Lai, Alexander T. Ihler, Meenakshisundaram Gopi, Aditi Majumder
Image enhancement in projectors via optical pixel shift and overlay. ICCP (2013)
Qiang Liu, Jian Peng, Alexander T. Ihler
Variational Inference for Crowdsourcing. NIPS (2012)
Alexander T. Ihler
Accuracy Bounds for Belief Propagation CoRR (2012)
Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu, Alexander T. Ihler
Approximating the Sum Operation for Marginal-MAP Inference. AAAI (2012)
Qiang Liu, Alexander T. Ihler
Negative Tree Reweighted Belief Propagation CoRR (2012)
Max Welling, Andrew Gelfand, Alexander T. Ihler
A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. UAI (2012)
Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes
Fast Planar Correlation Clustering for Image Segmentation. ECCV (6) (2012)
Alexander T. Ihler, David Newman
Understanding Errors in Approximate Distributed Latent Dirichlet Allocation. IEEE Trans. Knowl. Data Eng. 24 (5) (2012)
Alexander T. Ihler, Natalia Flerova, Rina Dechter, Lars Otten
Join-graph based cost-shifting schemes. UAI (2012)
Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu, Özgür Sümer
Adaptive Inference on General Graphical Models CoRR (2012)
Qiang Liu, Alexander T. Ihler
Belief Propagation for Structured Decision Making CoRR (2012)
Ian Porteous, Alexander T. Ihler, Padhraic Smyth, Max Welling
Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation. CoRR (2012)
Alexander T. Ihler, Natalia Flerova, Rina Dechter, Lars Otten
Join-graph based cost-shifting schemes CoRR (2012)
Andrew J. Frank, Padhraic Smyth, Alexander T. Ihler
A graphical model representation of the track-oriented multiple hypothesis tracker. SSP (2012)
Qiang Liu, Alexander T. Ihler
Belief Propagation for Structured Decision Making. UAI (2012)
Max Welling, Andrew E. Gelfand, Alexander T. Ihler
A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation CoRR (2012)
Qiang Liu, Alexander T. Ihler
Distributed Parameter Estimation via Pseudo-likelihood . ICML (2012)
Qiang Liu, Alexander T. Ihler
Variational Algorithms for Marginal MAP CoRR (2012)
Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes
Fast Planar Correlation Clustering for Image Segmentation CoRR (2012)
Julian Yarkony, Ragib Morshed, Alexander T. Ihler, Charless C. Fowlkes
Tightening MRF Relaxations with Planar Subproblems CoRR (2012)
James R. Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander T. Ihler
Revisiting MAP Estimation, Message Passing and Perfect Graphs. AISTATS (2011)
Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes
Planar Cycle Covering Graphs. UAI (2011)
Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu
Fast Parallel and Adaptive Updates for Dual-Decomposition Solvers. AAAI (2011)
Tianbing Xu, Alexander T. Ihler
Multicore Gibbs Sampling in Dense, Unstructured Graphs. AISTATS (2011)
Qiang Liu, Alexander T. Ihler
Variational Algorithms for Marginal MAP. UAI (2011)
Özgür Sümer, Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu
Adaptive Exact Inference in Graphical Models. J. Mach. Learn. Res. 12 (2011)
Qiang Liu, Alexander T. Ihler
Learning Scale Free Networks by Reweighted L1 regularization. AISTATS (2011)
Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes
Planar Cycle Covering Graphs CoRR (2011)
Qiang Liu, Alexander T. Ihler
Bounding the Partition Function using Holder's Inequality. ICML (2011)
Julian Yarkony, Ragib Morshed, Alexander T. Ihler, Charless C. Fowlkes
Tightening MRF Relaxations with Planar Subproblems. UAI (2011)
Danny Bickson, Dror Baron, Alexander T. Ihler, Harel Avissar, Danny Dolev
Fault Identification Via Nonparametric Belief Propagation. IEEE Trans. Signal Process. 59 (6) (2011)
Qiang Liu, Alexander T. Ihler
Negative Tree Reweighted Belief Propagation. UAI (2010)
Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler, Padhraic Smyth
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence. ICML (2010)
Julian Yarkony, Charless C. Fowlkes, Alexander T. Ihler
Covering trees and lower-bounds on quadratic assignment. CVPR (2010)
Qiang Liu, Kevin K. Lin, Bogi Andersen, Padhraic Smyth, Alexander T. Ihler
Estimating replicate time shifts using Gaussian process regression. Bioinform. 26 (6) (2010)
Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky
Nonparametric belief propagation. Commun. ACM 53 (10) (2010)
Arthur U. Asuncion, Qiang Liu, Alexander T. Ihler, Padhraic Smyth
Learning with Blocks: Composite Likelihood and Contrastive Divergence. AISTATS (2010)
Danny Bickson, Harel Avissar, Danny Dolev, Stephen P. Boyd, Alexander T. Ihler, Dror Baron
Distributed Fault Identification via Non-parametric Belief Propagation CoRR (2009)
Danny Bickson, Alexander T. Ihler, Harel Avissar, Danny Dolev
A low density lattice decoder via non-parametric belief propagation. Allerton (2009)
Alexander T. Ihler, Andrew J. Frank, Padhraic Smyth
Particle-based Variational Inference for Continuous Systems. NIPS (2009)
Darya Chudova, Alexander T. Ihler, Kevin K. Lin, Bogi Andersen, Padhraic Smyth
Bayesian detection of non-sinusoidal periodic patterns in circadian expression data. Bioinform. 25 (23) (2009)
Danny Bickson, Alexander T. Ihler, Danny Dolev
A Low Density Lattice Decoder via Non-Parametric Belief Propagation CoRR (2009)
Alexander T. Ihler, David A. McAllester
Particle Belief Propagation. AISTATS (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)
Umut A. Acar, Alexander T. Ihler, Ramgopal R. Mettu, Özgür Sümer
Adaptive inference on general graphical models. UAI (2008)
Ian Porteous, David Newman, Alexander T. Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling
Fast collapsed gibbs sampling for latent dirichlet allocation. KDD (2008)
Alexander T. Ihler
Accuracy Bounds for Belief Propagation. UAI (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander T. Ihler