papers
Publications (17)
cs.LG2018
Thompson Sampling for Noncompliant Bandits
Andrew Stirn, Tony Jebara
cs.LG2013
Stochastic Bound Majorization
Anna Choromanska, Tony Jebara
cs.LG2012
Bethe Bounds and Approximating the Global Optimum
Adrian Weller, Tony Jebara
cs.LG2015
Bethe Learning of Conditional Random Fields via MAP Decoding
Kui Tang, Nicholas Ruozzi, David Belanger +1
cs.LG2016
Binary embeddings with structured hashed projections
Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski +3
stat.ML2015
On Learning from Label Proportions
Felix X. Yu, Krzysztof Choromanski, Sanjiv Kumar +2
math.ST2018
A refinement of Bennett's inequality with applications to portfolio optimization
Tony Jebara
stat.ML2018
Item Recommendation with Variational Autoencoders and Heterogenous Priors
Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan +3
math.OC2017
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel, Tony Jebara, Simon Lacoste-Julien
cs.DM2015
Coloring tournaments with forbidden substructures
Krzysztof Choromanski, Tony Jebara
cs.LG2013
Approximating the Bethe partition function
Adrian Weller, Tony Jebara
cs.LG2013
$\propto$SVM for learning with label proportions
Felix X. Yu, Dong Liu, Sanjiv Kumar +2
stat.ML2018
Variational Autoencoders for Collaborative Filtering
Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman +1
cs.LG2019
Beta Survival Models
David Hubbard, Benoit Rostykus, Yves Raimond +1
cs.LG2009
Approximating the Permanent with Belief Propagation
Bert Huang, Tony Jebara
cs.CL2018
Subgoal Discovery for Hierarchical Dialogue Policy Learning
Da Tang, Xiujun Li, Jianfeng Gao +3
stat.ML2019
Initialization and Coordinate Optimization for Multi-way Matching
Da Tang, Tony Jebara