Papers
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury, Aditya Gopalan
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Colin Raffel, Minh-Thang Luong, Peter J. Liu et al.
Online Learning to Rank in Stochastic Click Models
Masrour Zoghi, Tomas Tunys, Mohammad Ghavamzadeh et al.
Online Learning with Local Permutations and Delayed Feedback
Ohad Shamir, Liran Szlak
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability
Zhehui Chen, Lin F. Yang, Chris Junchi Li et al.
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
On orthogonality and learning recurrent networks with long term dependencies
Eugene Vorontsov, Chiheb Trabelsi, Samuel Kadoury et al.
On Relaxing Determinism in Arithmetic Circuits
Arthur Choi, Adnan Darwiche
On the Expressive Power of Deep Neural Networks
Maithra Raghu, Ben Poole, Jon Kleinberg et al.
On The Projection Operator to A Three-view Cardinality Constrained Set
Haichuan Yang, Shupeng Gui, Chuyang Ke et al.
On the Sampling Problem for Kernel Quadrature
François-Xavier Briol, Chris J. Oates, Jon Cockayne et al.
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks
Kevin Scaman, Francis Bach, Sébastien Bubeck et al.
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
Yu-Xiang Wang, Alekh Agarwal, Miroslav Dudı́k
Optimal Densification for Fast and Accurate Minwise Hashing
Anshumali Shrivastava
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos, J. Zico Kolter
Oracle Complexity of Second-Order Methods for Finite-Sum Problems
Yossi Arjevani, Ohad Shamir
Ordinal Graphical Models: A Tale of Two Approaches
Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar
Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use
Vatsal Sharan, Gregory Valiant
Pain-Free Random Differential Privacy with Sensitivity Sampling
Benjamin I. P. Rubinstein, Francesco Aldà
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp et al.
Parallel Multiscale Autoregressive Density Estimation
Scott Reed, Aäron Oord, Nal Kalchbrenner et al.
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cisse, Piotr Bojanowski, Edouard Grave et al.
Partitioned Tensor Factorizations for Learning Mixed Membership Models
Zilong Tan, Sayan Mukherjee
PixelCNN Models with Auxiliary Variables for Natural Image Modeling
Alexander Kolesnikov, Christoph H. Lampert