Papers
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
Chaoxu Zhou, Wenbo Gao, Donald Goldfarb
Stochastic Bouncy Particle Sampler
Ari Pakman, Dar Gilboa, David Carlson et al.
Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence
Yi Xu, Qihang Lin, Tianbao Yang
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification
Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan et al.
Stochastic Generative Hashing
Bo Dai, Ruiqi Guo, Sanjiv Kumar et al.
Stochastic Gradient MCMC Methods for Hidden Markov Models
Yi-An Ma, Nicholas J. Foti, Emily B. Fox
Stochastic Gradient Monomial Gamma Sampler
Yizhe Zhang, Changyou Chen, Zhe Gan et al.
Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms
Qianxiao Li, Cheng Tai, Weinan E
Stochastic Variance Reduction Methods for Policy Evaluation
Simon S. Du, Jianshu Chen, Lihong Li et al.
Strongly-Typed Agents are Guaranteed to Interact Safely
David Balduzzi
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
Yichen Chen, Dongdong Ge, Mengdi Wang et al.
Sub-sampled Cubic Regularization for Non-convex Optimization
Jonas Moritz Kohler, Aurelien Lucchi
Tensor Balancing on Statistical Manifold
Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda
Tensor Belief Propagation
Andrew Wrigley, Wee Sun Lee, Nan Ye
Tensor Decomposition via Simultaneous Power Iteration
Po-An Wang, Chi-Jen Lu
Tensor Decomposition with Smoothness
Masaaki Imaizumi, Kohei Hayashi
Tensor-Train Recurrent Neural Networks for Video Classification
Yinchong Yang, Denis Krompass, Volker Tresp
The Loss Surface of Deep and Wide Neural Networks
Quynh Nguyen, Matthias Hein
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
Liang Zhao, Siyu Liao, Yanzhi Wang et al.
The Predictron: End-To-End Learning and Planning
David Silver, Hado Hasselt, Matteo Hessel et al.
The Price of Differential Privacy for Online Learning
Naman Agarwal, Karan Singh
The Sample Complexity of Online One-Class Collaborative Filtering
Reinhard Heckel, Kannan Ramchandran
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
David Balduzzi, Marcus Frean, Lennox Leary et al.
The Statistical Recurrent Unit
Junier B. Oliva, Barnabás Póczos, Jeff Schneider
Tight Bounds for Approximate Carathéodory and Beyond
Vahab Mirrokni, Renato Paes Leme, Adrian Vladu et al.