Papers
Geometric optimisation on positive definite matrices for elliptically contoured distributions
Suvrit Sra, Reshad Hosseini
Prior-free and prior-dependent regret bounds for Thompson Sampling
Sebastien Bubeck, Che-Yu Liu
Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang, Percy Liang
Variational Policy Search via Trajectory Optimization
Sergey Levine, Vladlen Koltun
Learning with Noisy Labels
Nagarajan Natarajan, Inderjit S Dhillon, Pradeep K Ravikumar et al.
Linear Convergence with Condition Number Independent Access of Full Gradients
Lijun Zhang, Mehrdad Mahdavi, Rong Jin
Deep Fisher Networks for Large-Scale Image Classification
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Contrastive Learning Using Spectral Methods
James Y Zou, Daniel J. Hsu, David C. Parkes et al.
Bayesian Hierarchical Community Discovery
Charles Blundell, Yee Whye Teh
Stochastic Convex Optimization with Multiple Objectives
Mehrdad Mahdavi, Tianbao Yang, Rong Jin
Wavelets on Graphs via Deep Learning
Raif Rustamov, Leonidas Guibas
Solving inverse problem of Markov chain with partial observations
Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Ide
Transfer Learning in a Transductive Setting
Marcus Rohrbach, Sandra Ebert, Bernt Schiele
Sign Cauchy Projections and Chi-Square Kernel
Ping Li, Gennady Samorodnitsk, John Hopcroft
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
Anima Anandkumar, Daniel J. Hsu, Majid Janzamin et al.
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex
Sam Patterson, Yee Whye Teh
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
Roger Frigola, Fredrik Lindsten, Thomas B Schön et al.
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Christopher D. Manning et al.
Demixing odors - fast inference in olfaction
Agnieszka Grabska-Barwinska, Jeff Beck, Alexandre Pouget et al.
Estimating LASSO Risk and Noise Level
Mohsen Bayati, Murat A Erdogdu, Andrea Montanari
Regression-tree Tuning in a Streaming Setting
Samory Kpotufe, Francesco Orabona
An Approximate, Efficient LP Solver for LP Rounding
Srikrishna Sridhar, Stephen Wright, Christopher Re et al.
Online Learning with Costly Features and Labels
Navid Zolghadr, Gabor Bartok, Russell Greiner et al.
Adaptivity to Local Smoothness and Dimension in Kernel Regression
Samory Kpotufe, Vikas Garg