← Optimization & Theory
Machine Learning › Optimization & Theory ›

Theory

4950 directly classified papers

Papers per year

Papers

Minimum Weight Perfect Matching via Blossom Belief Propagation NIPS 2015
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NIPS 2015
Bounding errors of Expectation-Propagation NIPS 2015
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces NIPS 2015
Graph Clustering With Missing Data: Convex Algorithms and Analysis NIPS 2014
Asymptotically consistent estimation of the number of change points in highly dependent time series ICML 2014
Bregman Divergences for Infinite Dimensional Covariance Matrices CVPR 2014
Accurate Localization and Pose Estimation for Large 3D Models CVPR 2014
On the Computational Efficiency of Training Neural Networks NIPS 2014
On the Number of Linear Regions of Deep Neural Networks NIPS 2014
Latent Bandits. ICML 2014
A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014
A statistical model for tensor PCA NIPS 2014
Provable Tensor Factorization with Missing Data NIPS 2014
Reducing the Rank in Relational Factorization Models by Including Observable Patterns NIPS 2014
New Results for Random Walk Learning JMLR 2014
Sparsity and the Truncated $l^2$-norm AISTATS 2014
A Unifying View of Representer Theorems ICML 2014
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife JMLR 2014
Universal Matrix Completion ICML 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Feedback Detection for Live Predictors NIPS 2014
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014
Near-optimal sample compression for nearest neighbors NIPS 2014
SerialRank: Spectral Ranking using Seriation NIPS 2014