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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches AACL 2022 Benchopt: Reproducible, efficient and collaborative optimization benchmarks NeurIPS 2022 Benefits of Additive Noise in Composing Classes with Bounded Capacity NeurIPS 2022 Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint ICML 2022 Benefits of Permutation-Equivariance in Auction Mechanisms NeurIPS 2022 Benign Overfitting in Two-layer Convolutional Neural Networks NeurIPS 2022 Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data COLT 2022 Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting NeurIPS 2022 Benign Underfitting of Stochastic Gradient Descent NeurIPS 2022 BERT-Sort: A Zero-shot MLM Semantic Encoder on Ordinal Features for AutoML AutoML 2022 Best Arm Identification with Safety Constraints AISTATS 2022 Best Heuristic Identification for Constraint Satisfaction IJCAI 2022 Best of Both Worlds Model Selection NeurIPS 2022 Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning AISTATS 2022 Better Best of Both Worlds Bounds for Bandits with Switching Costs NeurIPS 2022 Better Collective Decisions via Uncertainty Reduction IJCAI 2022 Better Intermediates Improve CTC Inference Interspeech 2022 Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting AAAI 2022 Better Private Algorithms for Correlation Clustering COLT 2022 Better SGD using Second-order Momentum NeurIPS 2022 Better Trigger Inversion Optimization in Backdoor Scanning CVPR 2022 Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness NeurIPS 2022 Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules NeurIPS 2022 Beyond Additive Fusion: Learning Non-Additive Multimodal Interactions EMNLP 2022 Beyond black box densities: Parameter learning for the deviated components NeurIPS 2022