Papers
4,025 papers found
NYTRO: When Subsampling Meets Early Stopping
Raffaello Camoriano, Tomás Angles, Alessandro Rudi et al.
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System
Yi Zhou, Yaoliang Yu, Wei Dai et al.
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks
Abdullah Rashwan, Han Zhao, Pascal Poupart
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees
Jinchun Zhan, Brian Lois, Han Guo et al.
Online Learning to Rank with Feedback at the Top
Sougata Chaudhuri, Ambuj Tewari Tewari
Online Learning with Noisy Side Observations
Tomáš Kocák, Gergely Neu, Michal Valko
Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings
Zhitang Chen, Pascal Poupart, Yanhui Geng
On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice
Cheng Tang, Claire Monteleoni
On Searching for Generalized Instrumental Variables
Benito Zander, Maciej Liśkiewicz
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes
Alexander G. de G. Matthews, James Hensman, Richard Turner et al.
On the Reducibility of Submodular Functions
Jincheng Mei, Hao Zhang, Bao-Liang Lu
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games
Julien Pérolat, Bilal Piot, Bruno Scherrer et al.
Optimal Statistical and Computational Rates for One Bit Matrix Completion
Renkun Ni, Quanquan Gu
Optimization as Estimation with Gaussian Processes in Bandit Settings
Zi Wang, Bolei Zhou, Stefanie Jegelka
Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects
Mario Figueiredo, Robert Nowak
PAC-Bayesian Bounds based on the Rényi Divergence
Luc Bégin, Pascal Germain, François Laviolette et al.
Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization
Yan Kaganovsky, Ikenna Odinaka, David Carlson et al.
Parallel Markov Chain Monte Carlo via Spectral Clustering
Guillaume Basse, Aaron Smith, Natesh Pillai
Pareto Front Identification from Stochastic Bandit Feedback
Peter Auer, Chao-Kai Chiang, Ronald Ortner et al.
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates
Lingxiao Wang, Xiang Ren, Quanquan Gu
Private Causal Inference
Matt J. Kusner, Yu Sun, Karthik Sridharan et al.
Probabilistic Approximate Least-Squares
Simon Bartels, Philipp Hennig
Provable Bayesian Inference via Particle Mirror Descent
Bo Dai, Niao He, Hanjun Dai et al.