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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)

Optimization with First-Order Surrogate Functions ICML 2013 Optimized Product Quantization for Approximate Nearest Neighbor Search CVPR 2013 Optimizing Instructional Policies NeurIPS 2013 Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013 Orderless Tracking through Model-Averaged Posterior Estimation ICCV 2013 PAC-Bayes-Empirical-Bernstein Inequality NeurIPS 2013 Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models JMLR 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Parameter Learning and Convergent Inference for Dense Random Fields ICML 2013 Parametric Task Learning NeurIPS 2013 Parsing epileptic events using a Markov switching process model for correlated time series ICML 2013 Partial Enumeration and Curvature Regularization ICCV 2013 Partial Sum Minimization of Singular Values in RPCA for Low-Level Vision ICCV 2013 Passive Learning with Target Risk COLT 2013 Perceptual Fidelity Aware Mean Squared Error ICCV 2013 Permutation estimation and minimax rates of identifiability AISTATS 2013 Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013 Phase Retrieval using Alternating Minimization NeurIPS 2013 Planning by Prioritized Sweeping with Small Backups ICML 2013 Polar Operators for Structured Sparse Estimation NeurIPS 2013 Policy Shaping: Integrating Human Feedback with Reinforcement Learning NeurIPS 2013 Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification ACML 2013 Polynomial Time Optimal Query Algorithms for Finding Graphs with Arbitrary Real Weights COLT 2013 Prediction by random-walk perturbation COLT 2013