Papers
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
Ofir Pele, Ben Taskar, Amir Globerson et al.
The Pareto Regret Frontier
Wouter M. Koolen
The Power of Asymmetry in Binary Hashing
Behnam Neyshabur, Nati Srebro, Ruslan Salakhutdinov et al.
The price of bandit information in multiclass online classification
Amit Daniely, Tom Helbertal
The Randomized Dependence Coefficient
David Lopez-Paz, Philipp Hennig, Bernhard Schölkopf
The Rate of Convergence of AdaBoost
Indraneel Mukherjee, Cynthia Rudin, Robert E. Schapire
The Sample-Complexity of General Reinforcement Learning
Tor Lattimore, Marcus Hutter, Peter Sunehag
The SVM-Minus Similarity Score for Video Face Recognition
Lior Wolf, Noga Levy
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Matthias Hein, Simon Setzer, Leonardo Jost et al.
The Variational Structure of Disparity and Regularization of 4D Light Fields
Bastian Goldluecke, Sven Wanner
The Way They Move: Tracking Multiple Targets with Similar Appearance
Caglayan Dicle, Octavia I. Camps, Mario Sznaier
Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections
Matthew Lawlor, Steven W Zucker
Thompson Sampling for 1-Dimensional Exponential Family Bandits
Nathaniel Korda, Emilie Kaufmann, Remi Munos
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal, Navin Goyal
Thompson Sampling in Switching Environments with Bayesian Online Change Detection
Joseph Mellor, Jonathan Shapiro
Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain
Ramakrishna Kakarala, Prabhu Kaliamoorthi, Vittal Premachandran
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities
Truyen Tran, Dinh Phung, Svetha Venkatesh
To Aggregate or Not to aggregate: Selective Match Kernels for Image Search
Giorgos Tolias, Yannis Avrithis, Herve Jegou
Top-down particle filtering for Bayesian decision trees
Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh
Top-Down Regularization of Deep Belief Networks
Hanlin Goh, Nicolas Thome, Matthieu Cord et al.
Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds
Jacinto C. Nascimento, Gustavo Carneiro
Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior
Gangqiang Zhao, Junsong Yuan, Gang Hua
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.