Papers
Neural Optimizer Search with Reinforcement Learning
Irwan Bello, Barret Zoph, Vijay Vasudevan et al.
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks
David Balduzzi, Brian McWilliams, Tony Butler-Yeoman
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates
Jiali Mei, Yohann De Castro, Yannig Goude et al.
Nonparanormal Information Estimation
Shashank Singh, Barnabás Póczos
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
Rong Ge, Chi Jin, Yi Zheng
Nyström Method with Kernel K-means++ Samples as Landmarks
Dino Oglic, Thomas Gärtner
On Approximation Guarantees for Greedy Low Rank Optimization
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis et al.
On Calibration of Modern Neural Networks
Chuan Guo, Geoff Pleiss, Yu Sun et al.
On Context-Dependent Clustering of Bandits
Claudio Gentile, Shuai Li, Purushottam Kar et al.
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