Papers
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Dong, Shangyu Chen, Sinno Pan
Eigen-Distortions of Hierarchical Representations
Alexander Berardino, Valero Laparra, Johannes Ballé et al.
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Andrew Gibiansky, Sercan Arik, Gregory Diamos et al.
Position-based Multiple-play Bandit Problem with Unknown Position Bias
Junpei Komiyama, Junya Honda, Akiko Takeda
Near Optimal Sketching of Low-Rank Tensor Regression
Xingguo Li, Jarvis Haupt, David Woodruff
A New Alternating Direction Method for Linear Programming
Sinong Wang, Ness Shroff
Hierarchical Methods of Moments
Matteo Ruffini, Guillaume Rabusseau, Borja Balle
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval
Gauri Jagatap, Chinmay Hegde
Dynamic-Depth Context Tree Weighting
Joao V Messias, Shimon Whiteson
Structured Generative Adversarial Networks
Zhijie Deng, Hao Zhang, Xiaodan Liang et al.
Linear regression without correspondence
Daniel J. Hsu, Kevin Shi, Xiaorui Sun
Stochastic Approximation for Canonical Correlation Analysis
Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy et al.
Stochastic Submodular Maximization: The Case of Coverage Functions
Mohammad Karimi, Mario Lucic, Hamed Hassani et al.
Policy Gradient With Value Function Approximation For Collective Multiagent Planning
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau
Multi-view Matrix Factorization for Linear Dynamical System Estimation
Mahdi Karami, Martha White, Dale Schuurmans et al.
Gated Recurrent Convolution Neural Network for OCR
Jianfeng Wang, Xiaolin Hu
Learning Affinity via Spatial Propagation Networks
Sifei Liu, Shalini De Mello, Jinwei Gu et al.
Decomposable Submodular Function Minimization: Discrete and Continuous
Alina Ene, Huy Nguyen, László A. Végh
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
Ethan Elenberg, Alexandros G Dimakis, Moran Feldman et al.
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes
Jianshu Chen, Chong Wang, Lin Xiao et al.
A KL-LUCB algorithm for Large-Scale Crowdsourcing
Ervin Tanczos, Robert Nowak, Bob Mankoff
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
Krzysztof M Choromanski, Mark Rowland, Adrian Weller
Integration Methods and Optimization Algorithms
Damien Scieur, Vincent Roulet, Francis Bach et al.
Diving into the shallows: a computational perspective on large-scale shallow learning
SIYUAN MA, Mikhail Belkin