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Advantage Amplification in Slowly Evolving Latent-State Environments


May 29, 2019
Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier


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Empirical Bayes Regret Minimization


Apr 04, 2019
Chih-Wei Hsu, Branislav Kveton, Ofer Meshi, Martin Mladenov, Csaba Szepesvari


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Deep Structured Prediction with Nonlinear Output Transformations


Nov 01, 2018
Colin Graber, Ofer Meshi, Alexander Schwing

* Appearing in NIPS 2018 

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Seq2Slate: Re-ranking and Slate Optimization with RNNs


Oct 04, 2018
Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi


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Planning and Learning with Stochastic Action Sets


May 07, 2018
Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans


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Linear-memory and Decomposition-invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes


May 20, 2016
Dan Garber, Ofer Meshi


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Train and Test Tightness of LP Relaxations in Structured Prediction


Apr 27, 2016
Ofer Meshi, Mehrdad Mahdavi, Adrian Weller, David Sontag

* To appear in ICML 2016 

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Fast and Scalable Structural SVM with Slack Rescaling


Oct 27, 2015
Heejin Choi, Ofer Meshi, Nathan Srebro


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Learning Max-Margin Tree Predictors


Sep 26, 2013
Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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Template Based Inference in Symmetric Relational Markov Random Fields


Jun 20, 2012
Ariel Jaimovich, Ofer Meshi, Nir Friedman

* Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007) 

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Convexifying the Bethe Free Energy


May 09, 2012
Ofer Meshi, Ariel Jaimovich, Amir Globerson, Nir Friedman

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

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