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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)

Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning ICML 2024 Revisiting Supertagging for faster HPSG parsing EMNLP 2024 Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond AAAI 2024 Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods ICLR 2024 Revisiting the Markov Property for Machine Translation EACL 2024 Revisiting the Noise Model of Stochastic Gradient Descent AISTATS 2024 Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ICML 2024 Revisit the Essence of Distilling Knowledge through Calibration ICML 2024 Reward-based Input Construction for Cross-document Relation Extraction ACL 2024 Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024 Reward-Free Kernel-Based Reinforcement Learning ICML 2024 Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024 Reward (Mis)design for Autonomous Driving (Abstract Reprint) AAAI 2024 Reward Model Ensembles Help Mitigate Overoptimization ICLR 2024 Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024 Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences ICML 2024 Reweighted Solutions for Weighted Low Rank Approximation ICML 2024 Rewrite the Stars CVPR 2024 Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity ICML 2024 Riemannian coordinate descent algorithms on matrix manifolds ICML 2024 Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024 Riemannian Multinomial Logistics Regression for SPD Neural Networks CVPR 2024 Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models ICML 2024 RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content ICML 2024 RingAttention with Blockwise Transformers for Near-Infinite Context ICLR 2024