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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)

The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit NeurIPS 2023 The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference UAI 2023 The SSL Interplay: Augmentations, Inductive Bias, and Generalization ICML 2023 The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023 The Statistical Scope of Multicalibration ICML 2023 The s-value: evaluating stability with respect to distributional shifts NeurIPS 2023 The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium ICLR 2023 The Transient Nature of Emergent In-Context Learning in Transformers NeurIPS 2023 The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector CVPR 2023 The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023 The Unreasonable Effectiveness of Deep Evidential Regression AAAI 2023 The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks CoNLL 2023 The Value of Out-of-Distribution Data ICML 2023 The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms ICML 2023 ThinkSum: Probabilistic reasoning over sets using large language models ACL 2023 Thompson Exploration with Best Challenger Rule in Best Arm Identification ACML 2023 Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits ICML 2023 Thompson Sampling with Diffusion Generative Prior ICML 2023 Thompson Sampling with Less Exploration is Fast and Optimal ICML 2023 Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points NeurIPS 2023 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance NeurIPS 2023 Thresholded linear bandits AISTATS 2023 TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization ICLR 2023 TiDAL: Learning Training Dynamics for Active Learning ICCV 2023 Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration EMNLP 2023