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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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'25

Papers (including subtopics)

Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature ICML 2023 Revisiting Pathologies of Neural Models under Input Reduction ACL 2023 REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH ICLR 2023 Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution CVPR 2023 Revisiting Sample Size Determination in Natural Language Understanding ACL 2023 Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective NeurIPS 2023 Revisiting Simple Regret: Fast Rates for Returning a Good Arm ICML 2023 Revisiting Structured Dropout ACML 2023 Revisiting the Assumption of Latent Separability for Backdoor Defenses ICLR 2023 Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023 Revisiting the Optimality of Word Lengths EMNLP 2023 Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy ICCV 2023 Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023 Revisiting Training-Free NAS Metrics: An Efficient Training-Based Method WACV 2023 Revisiting Weighted Strategy for Non-stationary Parametric Bandits AISTATS 2023 Revisit PCA-based Technique for Out-of-Distribution Detection ICCV 2023 Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care AAAI 2023 Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards NeurIPS 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Reward-Mixing MDPs with Few Latent Contexts are Learnable ICML 2023 Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning AAAI 2023 Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization ICLR 2023 REx: Data-Free Residual Quantization Error Expansion NeurIPS 2023 RF-Bouncer: A Programmable Dual-band Metasurface for Sub-6 Wireless Networks NSDI 2023 RHINE: Robust and High-performance Internet Naming with E2E Authenticity NSDI 2023