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Alexander Ihler

The LSST Dark Energy Science Collaboration and the COIN collaboration

Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients

Oct 26, 2020
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Moller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluis Galbany

* Accepted to the 2020 IEEE Symposium Series on Computational Intelligence 

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Learning Infinite RBMs with Frank-Wolfe

Oct 15, 2017
Wei Ping, Qiang Liu, Alexander Ihler

* NIPS 2016 

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Multi-Person Pose Estimation via Column Generation

Sep 18, 2017
Shaofei Wang, Chong Zhang, Miguel A. Gonzalez-Ballester, Alexander Ihler, Julian Yarkony

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Belief Propagation in Conditional RBMs for Structured Prediction

Mar 02, 2017
Wei Ping, Alexander Ihler

* Artificial Intelligence and Statistics (AISTATS) 2017 

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Decomposition Bounds for Marginal MAP

Nov 09, 2015
Wei Ping, Qiang Liu, Alexander Ihler

* NIPS 2015 (full-length) 

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Distributed Estimation, Information Loss and Exponential Families

Oct 09, 2014
Qiang Liu, Alexander Ihler

* To appear in NIPS 2014 

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Marginal Structured SVM with Hidden Variables

Sep 05, 2014
Wei Ping, Qiang Liu, Alexander Ihler

* Accepted by the 31st International Conference on Machine Learning (ICML 2014). 12 pages version with supplement 

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Variational Algorithms for Marginal MAP

Jul 18, 2013
Qiang Liu, Alexander Ihler

* This is a journal version of our conference paper "variational algorithms for marginal MAP" in UAI 201 [arXiv:1202.3742]; this version is considerably expanded, with more detail in its development, examples, algorithms, and proofs; additional experiments; and a junction graph version of the central message-passing algorithm 

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Distributed Parameter Estimation via Pseudo-likelihood

Jun 27, 2012
Qiang Liu, Alexander Ihler

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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