Papers
8,340 papers found
Why Most Decisions Are Easy in Tetris—And Perhaps in Other Sequential Decision Problems, As Well
Özgür Şimşek, Simón Algorta, Amit Kothiyal
Why Regularized Auto-Encoders learn Sparse Representation?
Devansh Arpit, Yingbo Zhou, Hung Ngo et al.
A Bayesian nonparametric procedure for comparing algorithms
Alessio Benavoli, Giorgio Corani, Francesca Mangili et al.
Abstraction Selection in Model-based Reinforcement Learning
Nan Jiang, Alex Kulesza, Satinder Singh
Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams
Rose Yu, Dehua Cheng, Yan Liu
A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models
En-Hsu Yen, Xin Lin, Kai Zhong et al.
A Convex Optimization Framework for Bi-Clustering
Shiau Hong Lim, Yudong Chen, Huan Xu
Active Nearest Neighbors in Changing Environments
Christopher Berlind, Ruth Urner
Adaptive Belief Propagation
Georgios Papachristoudis, John Fisher
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.