Papers
Stochastic Alternating Direction Method of Multipliers
Hua Ouyang, Niao He, Long Tran et al.
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
Daniel Tarlow, Kevin Swersky, Laurent Charlin et al.
Stochastic Simultaneous Optimistic Optimization
Michal Valko, Alexandra Carpentier, Rémi Munos
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Lloyd, Roger Grosse et al.
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing
Huayan Wang, Koller Daphne
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically
Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya et al.
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization
Stefano Ermon, Carla Gomes, Ashish Sabharwal et al.
Temporal Difference Methods for the Variance of the Reward To Go
Aviv Tamar, Dotan Di Castro, Shie Mannor
Tensor Analyzers
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey Hinton
That was fast! Speeding up NN search of high dimensional distributions.
Emanuele Coviello, Adeel Mumtaz, Antoni Chan et al.
The Bigraphical Lasso
Alfredo Kalaitzis, John Lafferty, Neil D. Lawrence et al.
The Cross-Entropy Method Optimizes for Quantiles
Sergiu Goschin, Ari Weinstein, Michael Littman
The Extended Parameter Filter
Yusuf Bugra Erol, Lei Li, Bharath Ramsundar et al.
The lasso, persistence, and cross-validation
Darren Homrighausen, Daniel McDonald
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.