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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)

Closure Properties for Private Classification and Online Prediction COLT 2020 Cloth in the Wind: A Case Study of Physical Measurement Through Simulation CVPR 2020 C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation UAI 2020 Coarse Correlation in Extensive-Form Games AAAI 2020 Coded Sequential Matrix Multiplication For Straggler Mitigation NeurIPS 2020 Co-exposure Maximization in Online Social Networks NeurIPS 2020 Cogradient Descent for Bilinear Optimization CVPR 2020 COGS: A Compositional Generalization Challenge Based on Semantic Interpretation EMNLP 2020 Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization ICLR 2020 CoinDICE: Off-Policy Confidence Interval Estimation NeurIPS 2020 Collaborative Exploration in Stochastic Multi-Player Bandits ACML 2020 Collapsing Bandits and Their Application to Public Health Intervention NeurIPS 2020 Collective Decision Making under Incomplete Knowledge: Possible and Necessary Solutions IJCAI 2020 Collegial Ensembles NeurIPS 2020 Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization CVPR 2020 Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints IJCAI 2020 Combinatorial Pure Exploration for Dueling Bandit ICML 2020 Communication, Distortion, and Randomness in Metric Voting AAAI 2020 Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls AISTATS 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction AISTATS 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020 Communication-Efficient Distributed PCA by Riemannian Optimization ICML 2020 Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks ICML 2020 Compact Autoregressive Network AAAI 2020 Comparator-Adaptive Convex Bandits NeurIPS 2020