Papers
8,340 papers found
The Most Generative Maximum Margin Bayesian Networks
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
Ofir Pele, Ben Taskar, Amir Globerson et al.
The Sample-Complexity of General Reinforcement Learning
Tor Lattimore, Marcus Hutter, Peter Sunehag
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal, Navin Goyal
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities
Truyen Tran, Dinh Phung, Svetha Venkatesh
Top-down particle filtering for Bayesian decision trees
Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh
Topic Discovery through Data Dependent and Random Projections
Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar et al.
Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment
Jason Chuang, Sonal Gupta, Christopher Manning et al.
Top-k Selection based on Adaptive Sampling of Noisy Preferences
Robert Busa-Fekete, Balazs Szorenyi, Weiwei Cheng et al.
Toward Optimal Stratification for Stratified Monte-Carlo Integration
Alexandra Carpentier, Rémi Munos
Transition Matrix Estimation in High Dimensional Time Series
Fang Han, Han Liu
Tree-Independent Dual-Tree Algorithms
Ryan Curtin, William March, Parikshit Ram et al.
Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy
Jean Honorio, Jaakkola Tommi
Unfolding Latent Tree Structures using 4th Order Tensors
Mariya Ishteva, Haesun Park, Le Song
Vanishing Component Analysis
Roi Livni, David Lehavi, Sagi Schein et al.