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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)

Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness AISTATS 2023 Theory and Algorithm for Batch Distribution Drift Problems AISTATS 2023 Theory on Forgetting and Generalization of Continual Learning ICML 2023 The Parameterized Complexity of Finding Concise Local Explanations IJCAI 2023 The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications AAAI 2023 The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance NeurIPS 2023 The Power of Contrast for Feature Learning: A Theoretical Analysis JMLR 2023 The Power of Learned Locally Linear Models for Nonlinear Policy Optimization ICML 2023 The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing ICML 2023 The Power of Recursion in Graph Neural Networks for Counting Substructures AISTATS 2023 The Power of Regularization in Solving Extensive-Form Games ICLR 2023 The Power of Uniform Sampling for k-Median ICML 2023 The Price of Differential Privacy under Continual Observation ICML 2023 The probability flow ODE is provably fast NeurIPS 2023 The Quantization Model of Neural Scaling NeurIPS 2023 The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions NeurIPS 2023 The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance NeurIPS 2023 The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only NeurIPS 2023 The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning ICML 2023 There’s No Data like Better Data: Using QE Metrics for MT Data Filtering EMNLP 2023 Thermal Spread Functions (TSF): Physics-Guided Material Classification CVPR 2023 The Role of Coverage in Online Reinforcement Learning ICLR 2023 The Saddle-Point Method in Differential Privacy ICML 2023 The Sample Complexity of Approximate Rejection Sampling With Applications to Smoothed Online Learning COLT 2023 The Schrödinger Bridge between Gaussian Measures has a Closed Form AISTATS 2023