Dr. Joseph Keshet
Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi Jaakkola, On Sampling from the Gibbs distribution with Random Maximum A-Posteriori Perturbations, Neural Information and Processing Systems (NIPS), 2013.
Noam Peled, Moshe Bitan, Joseph Keshet, Sarit Kraus, Predicting Human Strategic Decisions Using Facial Expressions, International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, 2013.
Rohit Prabhavalkar, Karen Livescu, Eric Fosler-Lussier, Joseph Keshet, Discriminative Articulatory Models for Spoken Term Detection in Low-Resource Conversational Settings, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, 2013.
Hao Tang, Joseph Keshet, and Karen Livescu, Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach,The 50th Annual Meeting of the Association of Computational Linguistics (ACL), 2012.
David McAllester and Joseph Keshet, Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss, The 25th Annual Conference on Neural Information Processing Systems (NIPS), 2011 (full oral presentation).
Joseph Keshet, Chih-Chieh Cheng, Mark Stoehr, and David McAllester, Direct Error Rate Minimization of Hidden Markov Models, The 12th Annual Conference of the International Speech Communication Association (Interspeech), Florence, Italy, 2011.
Joseph Keshet, David McAllester, and Tamir Hazan, PAC-Bayesian Approach for Minimization of Phoneme Error Rate, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, 2011.
Machine learning; Speech recognition; Audio, speech and language processing