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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)

A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays NeurIPS 2024 A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning IJCAI 2024 A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers NeurIPS 2024 A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024 Abrupt Learning in Transformers: A Case Study on Matrix Completion NeurIPS 2024 Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses AISTATS 2024 Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence ICML 2024 Abstract Action Scheduling for Optimal Temporal Planning via OMT AAAI 2024 Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NeurIPS 2024 A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity AISTATS 2024 A Call for Clarity in Beam Search: How It Works and When It Stops COLING 2024 A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark CVPR 2024 A Canonicalization Perspective on Invariant and Equivariant Learning NeurIPS 2024 A Careful Examination of Large Language Model Performance on Grade School Arithmetic NeurIPS 2024 A causality-inspired plus-minus model for player evaluation in team sports CLeaR 2024 A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation COLING 2024 Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion ICML 2024 Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise ICLR 2024 Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024 Accelerated Parameter-Free Stochastic Optimization COLT 2024 Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces ICML 2024 Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning ICML 2024 Accelerated Regularized Learning in Finite N-Person Games NeurIPS 2024 Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024 Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024