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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)

Combinatorial Multi-Armed Bandit: General Framework and Applications ICML 2013 Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009) JMLR 2013 Communication-Efficient Algorithms for Statistical Optimization JMLR 2013 Competing with an Infinite Set of Models in Reinforcement Learning AISTATS 2013 Competing With Strategies COLT 2013 Complementary Projection Hashing ICCV 2013 Completeness Results for Lifted Variable Elimination AISTATS 2013 Complexity Theoretic Lower Bounds for Sparse Principal Component Detection COLT 2013 Composite Statistical Inference for Semantic Segmentation CVPR 2013 Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation CVPR 2013 Computation-Risk Tradeoffs for Covariance-Thresholded Regression ICML 2013 Computing Diffeomorphic Paths for Large Motion Interpolation CVPR 2013 Computing the M Most Probable Modes of a Graphical Model AISTATS 2013 Computing the Stationary Distribution Locally NeurIPS 2013 Conditional Random Fields via Univariate Exponential Families NeurIPS 2013 Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models NeurIPS 2013 Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems JMLR 2013 Consistency of Online Random Forests ICML 2013 Consistency versus Realizable H-Consistency for Multiclass Classification ICML 2013 Consistent Selection of Tuning Parameters via Variable Selection Stability JMLR 2013 Context-Aware Modeling and Recognition of Activities in Video CVPR 2013 Context-sensitive active sensing in humans NeurIPS 2013 Continuous Inference in Graphical Models with Polynomial Energies CVPR 2013 Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NeurIPS 2013 Convex Collective Matrix Factorization AISTATS 2013