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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

The lasso, persistence, and cross-validation ICML 2013 The Most Generative Maximum Margin Bayesian Networks ICML 2013 The Pareto Regret Frontier NeurIPS 2013 The Randomized Dependence Coefficient NeurIPS 2013 The Rate of Convergence of AdaBoost JMLR 2013 The Sample-Complexity of General Reinforcement Learning ICML 2013 The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NeurIPS 2013 The Variational Structure of Disparity and Regularization of 4D Light Fields CVPR 2013 Thompson Sampling for 1-Dimensional Exponential Family Bandits NeurIPS 2013 Thompson Sampling for Contextual Bandits with Linear Payoffs ICML 2013 Thompson Sampling in Switching Environments with Bayesian Online Change Detection AISTATS 2013 Thurstonian Boltzmann Machines: Learning from Multiple Inequalities ICML 2013 Top-down particle filtering for Bayesian decision trees ICML 2013 Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds CVPR 2013 Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior CVPR 2013 Topic Discovery through Data Dependent and Random Projections ICML 2013 Topology-Constrained Layered Tracking with Latent Flow ICCV 2013 Toward Optimal Stratification for Stratified Monte-Carlo Integration ICML 2013 Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization CVPR 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NeurIPS 2013 Transition Matrix Estimation in High Dimensional Time Series ICML 2013 Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy ICML 2013 Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards NeurIPS 2013 Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013