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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)

ConStat: Performance-Based Contamination Detection in Large Language Models NeurIPS 2024 Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data NeurIPS 2024 Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024 Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm ICLR 2024 Constrained Binary Decision Making NeurIPS 2024 Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics ICML 2024 Constrained Implicit Learning Framework for Neural Network Sparsification ACML 2024 Constrained Reinforcement Learning Under Model Mismatch ICML 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective NeurIPS 2024 Contemplative Mechanism for Speech Recognition: Speech Encoders can Think Interspeech 2024 CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models EMNLP 2024 Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024 Context-Aware Non-Autoregressive Document-Level Translation with Sentence-Aligned Connectionist Temporal Classification COLING 2024 Context Consistency between Training and Inference in Simultaneous Machine Translation ACL 2024 ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model NeurIPS 2024 Contextual Active Model Selection NeurIPS 2024 Contextual Bandits with Online Neural Regression ICLR 2024 Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm Interspeech 2024 Contextual Bilevel Reinforcement Learning for Incentive Alignment NeurIPS 2024 Contextual Decision-Making with Knapsacks Beyond the Worst Case NeurIPS 2024 Contextual Linear Optimization with Bandit Feedback NeurIPS 2024 Contextual Multinomial Logit Bandits with General Value Functions NeurIPS 2024 Contextual Pandora’s Box AAAI 2024 Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing NAACL 2024