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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)

Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory CVPR 2024 A Characterization of Multioutput Learnability JMLR 2024 A Characterization Theorem for Equivariant Networks with Point-wise Activations ICLR 2024 Achievable distributional robustness when the robust risk is only partially identified NeurIPS 2024 Achievable Fairness on Your Data With Utility Guarantees NeurIPS 2024 Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process NeurIPS 2024 Achieving Constant Regret in Linear Markov Decision Processes NeurIPS 2024 Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024 Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization NeurIPS 2024 Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling ICML 2024 Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NeurIPS 2024 Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping ICLR 2024 Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NeurIPS 2024 Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation ACL 2024 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design ICML 2024 A Closer Look at AUROC and AUPRC under Class Imbalance NeurIPS 2024 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy ACL 2024 A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem NeurIPS 2024 A Comparative Multidimensional Analysis of Empathetic Systems EACL 2024 A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent JMLR 2024 A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives EMNLP 2024 A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression NeurIPS 2024 A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models EACL 2024 A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets MLHC 2024