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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Competing with the Empirical Risk Minimizer in a Single Pass COLT 2015
A Chaining Algorithm for Online Nonparametric Regression COLT 2015
Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015
Learning the dependence structure of rare events: a non-asymptotic study COLT 2015
Thompson Sampling for Learning Parameterized Markov Decision Processes COLT 2015
Computational Lower Bounds for Community Detection on Random Graphs COLT 2015
Adaptive Recovery of Signals by Convex Optimization COLT 2015
Tensor principal component analysis via sum-of-square proofs COLT 2015
Fast Exact Matrix Completion with Finite Samples COLT 2015
Exp-Concavity of Proper Composite Losses COLT 2015
On Learning Distributions from their Samples COLT 2015
MCMC Learning COLT 2015
Online PCA with Spectral Bounds COLT 2015
Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem COLT 2015
Second-order Quantile Methods for Experts and Combinatorial Games COLT 2015
Algorithms for Lipschitz Learning on Graphs COLT 2015
Bad Universal Priors and Notions of Optimality COLT 2015
Learning with Square Loss: Localization through Offset Rademacher Complexity COLT 2015
Achieving All with No Parameters: AdaNormalHedge COLT 2015
Online Density Estimation of Bradley-Terry Models COLT 2015
First-order regret bounds for combinatorial semi-bandits COLT 2015
Norm-Based Capacity Control in Neural Networks COLT 2015
Cortical Learning via Prediction COLT 2015
Batched Bandit Problems COLT 2015
Hierarchies of Relaxations for Online Prediction Problems with Evolving Constraints COLT 2015