Papers
Adaptive Stochastic Alternating Direction Method of Multipliers
Peilin Zhao, Jinwei Yang, Tong Zhang et al.
Adding vs. Averaging in Distributed Primal-Dual Optimization
Chenxin Ma, Virginia Smith, Martin Jaggi et al.
A Deeper Look at Planning as Learning from Replay
Harm Vanseijen, Rich Sutton
A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data
Yining Wang, Yu-Xiang Wang, Aarti Singh
A Divide and Conquer Framework for Distributed Graph Clustering
Wenzhuo Yang, Huan Xu
A Fast Variational Approach for Learning Markov Random Field Language Models
Yacine Jernite, Alexander Rush, David Sontag
A General Analysis of the Convergence of ADMM
Robert Nishihara, Laurent Lessard, Ben Recht et al.
A Hybrid Approach for Probabilistic Inference using Random Projections
Michael Zhu, Stefano Ermon
Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction
Sébastien Giguère, Amélie Rolland, Francois Laviolette et al.
A Linear Dynamical System Model for Text
David Belanger, Sham Kakade
A Lower Bound for the Optimization of Finite Sums
Alekh Agarwal, Leon Bottou
A low variance consistent test of relative dependency
Wacha Bounliphone, Arthur Gretton, Arthur Tenenhaus et al.
Alpha-Beta Divergences Discover Micro and Macro Structures in Data
Karthik Narayan, Ali Punjani, Pieter Abbeel
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis
Pinghua Gong, Jieping Ye
A Multitask Point Process Predictive Model
Wenzhao Lian, Ricardo Henao, Vinayak Rao et al.
An Aligned Subtree Kernel for Weighted Graphs
Lu Bai, Luca Rossi, Zhihong Zhang et al.
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization
Necdet Aybat, Zi Wang, Garud Iyengar
A Nearly-Linear Time Framework for Graph-Structured Sparsity
Chinmay Hegde, Piotr Indyk, Ludwig Schmidt
An embarrassingly simple approach to zero-shot learning
Bernardino Romera-Paredes, Philip Torr
An Empirical Exploration of Recurrent Network Architectures
Rafal Jozefowicz, Wojciech Zaremba, Ilya Sutskever
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
Amar Shah, David Knowles, Zoubin Ghahramani
A New Generalized Error Path Algorithm for Model Selection
Bin Gu, Charles Ling
An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
Tianbao Yang, Lijun Zhang, Rong Jin et al.
An Online Learning Algorithm for Bilinear Models
Yuanbin Wu, Shiliang Sun
Approval Voting and Incentives in Crowdsourcing
Nihar Shah, Dengyong Zhou, Yuval Peres