Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization ACML 2015 Pushing Forward Marginal MAP with Best-First Search IJCAI 2015 pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015 Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling NeurIPS 2015 Rademacher Observations, Private Data, and Boosting ICML 2015 Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions ICML 2015 Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top ICML 2015 Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NeurIPS 2015 Rationality, Optimism and Guarantees in General Reinforcement Learning JMLR 2015 Real-Time Coarse-to-Fine Topologically Preserving Segmentation CVPR 2015 Real-Time Joint Estimation of Camera Orientation and Vanishing Points CVPR 2015 Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters CVPR 2015 Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood ICML 2015 Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters NeurIPS 2015 Recurrent Convolutional Neural Network for Object Recognition CVPR 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Regressive Virtual Metric Learning NeurIPS 2015 Regret-Based Pruning in Extensive-Form Games NeurIPS 2015 Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem COLT 2015 Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring NeurIPS 2015 Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices NeurIPS 2015 Regularization Path of Cross-Validation Error Lower Bounds NeurIPS 2015 Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NeurIPS 2015 Regularized Linear Regression: A Precise Analysis of the Estimation Error COLT 2015 Regularized M-estimators with Nonconvexity: Statistical and Algorithmic Theory for Local Optima JMLR 2015