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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)

Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects NeurIPS 2020 Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020 Minimax Pareto Fairness: A Multi Objective Perspective ICML 2020 Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020 Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition NeurIPS 2020 Minimax Testing of Identity to a Reference Ergodic Markov Chain AISTATS 2020 Minimax Value Interval for Off-Policy Evaluation and Policy Optimization NeurIPS 2020 Minimizing Discrete Total Curvature for Image Processing CVPR 2020 Minimizing Dynamic Regret and Adaptive Regret Simultaneously AISTATS 2020 Minimizing FLOPs to Learn Efficient Sparse Representations ICLR 2020 Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation AAAI 2020 Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition Interspeech 2020 MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics NeurIPS 2020 Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020 MIPaaL: Mixed Integer Program as a Layer AAAI 2020 Missing Data Imputation using Optimal Transport ICML 2020 Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments NeurIPS 2020 Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions NeurIPS 2020 MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs AAAI 2020 Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables NeurIPS 2020 Mixed-Variable Bayesian Optimization IJCAI 2020 Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods ALT 2020 M-LVC: Multiple Frames Prediction for Learned Video Compression CVPR 2020 MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles NeurIPS 2020 MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices CVPR 2020