Papers
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting
Shunan Zhang, Angela J. Yu
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Daniel Russo, Benjamin Van Roy
Decision Jungles: Compact and Rich Models for Classification
Jamie Shotton, Toby Sharp, Pushmeet Kohli et al.
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion
Franz Kiraly, Louis Theran
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation
Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda et al.
Bayesian inference for low rank spatiotemporal neural receptive fields
Mijung Park, Jonathan W Pillow
Online learning in episodic Markovian decision processes by relative entropy policy search
Alexander Zimin, Gergely Neu
Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty
Haichao Zhang, David Wipf
Gaussian Process Conditional Copulas with Applications to Financial Time Series
José Miguel Hernández-Lobato, James R Lloyd, Daniel Hernández-Lobato
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests
Yacine Jernite, Yonatan Halpern, David Sontag
Online Learning of Dynamic Parameters in Social Networks
Shahin Shahrampour, Sasha Rakhlin, Ali Jadbabaie
Convex Relaxations for Permutation Problems
Fajwel Fogel, Rodolphe Jenatton, Francis Bach et al.
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform
Yichao Lu, Paramveer Dhillon, Dean P. Foster et al.
Reservoir Boosting : Between Online and Offline Ensemble Learning
Leonidas Lefakis, François Fleuret
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering
Shinichi Nakajima, Akiko Takeda, S. Derin Babacan et al.
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms
Adrien Todeschini, François Caron, Marie Chavent
Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions
Eftychios A Pnevmatikakis, Liam Paninski
Compressive Feature Learning
Hristo S Paskov, Robert West, John C Mitchell et al.
Reflection methods for user-friendly submodular optimization
Stefanie Jegelka, Francis Bach, Suvrit Sra
Modeling Overlapping Communities with Node Popularities
Prem Gopalan, Chong Wang, David Blei
Inverse Density as an Inverse Problem: the Fredholm Equation Approach
Qichao Que, Mikhail Belkin
Low-rank matrix reconstruction and clustering via approximate message passing
Ryosuke Matsushita, Toshiyuki Tanaka
Projecting Ising Model Parameters for Fast Mixing
Justin Domke, Xianghang Liu
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
Barbara Rakitsch, Christoph Lippert, Karsten Borgwardt et al.