Papers
Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies
Weici Hu, Peter Frazier
Time-Varying Gaussian Process Bandit Optimization
Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher
CRAFT: ClusteR-specific Assorted Feature selecTion
Vikas K. Garg, Cynthia Rudin, Tommi Jaakkola
Survey Propagation beyond Constraint Satisfaction Problems
Christopher Srinivasa, Siamak Ravanbakhsh, Brendan Frey
Online Learning to Rank with Feedback at the Top
Sougata Chaudhuri, Ambuj Tewari Tewari
Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
Anima Anandkumar, Prateek Jain, Yang Shi et al.
No Regret Bound for Extreme Bandits
Robert Nishihara, David Lopez-Paz, Leon Bottou
A Linearly-Convergent Stochastic L-BFGS Algorithm
Philipp Moritz, Robert Nishihara, Michael Jordan
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Kevin Jamieson, Ameet Talwalkar
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes
Alexander G. de G. Matthews, James Hensman, Richard Turner et al.
Generalized Ideal Parent (GIP): Discovering non-Gaussian Hidden Variables
Yaniv Tenzer, Gal Elidan
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
Andreas Svensson, Arno Solin, Simo Särkkä et al.
Fast Convergence of Online Pairwise Learning Algorithms
Martin Boissier, Siwei Lyu, Yiming Ying et al.
On the Reducibility of Submodular Functions
Jincheng Mei, Hao Zhang, Bao-Liang Lu
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates
Lingxiao Wang, Xiang Ren, Quanquan Gu
Scalable Gaussian Process Classification via Expectation Propagation
Daniel Hernandez-Lobato, Jose Miguel Hernandez-Lobato
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models
Lee H. Dicker, Murat A. Erdogdu
Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices
Jonathan Scarlett, Volkan Cevher
Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls
Kwang-Sung Jun, Kevin Jamieson, Robert Nowak et al.
Breaking Sticks and Ambiguities with Adaptive Skip-gram
Sergey Bartunov, Dmitry Kondrashkin, Anton Osokin et al.
Bipartite Correlation Clustering: Maximizing Agreements
Megasthenis Asteris, Anastasios Kyrillidis, Dimitris Papailiopoulos et al.
Learning Sparse Additive Models with Interactions in High Dimensions
Hemant Tyagi, Anastasios Kyrillidis, Bernd Gärtner et al.
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
Michael Herman, Tobias Gindele, Jörg Wagner et al.