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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)

Thompson Sampling for Learning Parameterized Markov Decision Processes COLT 2015 Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits AISTATS 2015 Time-Sensitive Recommendation From Recurrent User Activities NeurIPS 2015 Top-k Multiclass SVM NeurIPS 2015 Total Variation Regularization of Shape Signals CVPR 2015 Toward Minimax Off-policy Value Estimation AISTATS 2015 Towards a Learning Theory of Cause-Effect Inference ICML 2015 Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing ICML 2015 Towards an Axiomatic Approach to Hierarchical Clustering of Measures JMLR 2015 Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains ICML 2015 Tractable Learning for Complex Probability Queries NeurIPS 2015 Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning AISTATS 2015 Training Very Deep Networks NeurIPS 2015 Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015 Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NeurIPS 2015 Truthful Linear Regression COLT 2015 Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation RSS 2015 Two-stage sampled learning theory on distributions AISTATS 2015 Understanding Deep Features With Computer-Generated Imagery ICCV 2015 Understanding Deep Image Representations by Inverting Them CVPR 2015 Understanding Image Representations by Measuring Their Equivariance and Equivalence CVPR 2015 Unified View of Matrix Completion under General Structural Constraints NeurIPS 2015 Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015 UniHIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints CVPR 2015 Unlocking neural population non-stationarities using hierarchical dynamics models NeurIPS 2015