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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)

ATG: Benchmarking Automated Theorem Generation for Generative Language Models NAACL 2024 A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks ICML 2024 A Theoretical Perspective for Speculative Decoding Algorithm NeurIPS 2024 A Theory of Fault-Tolerant Learning ICML 2024 A Theory of Interpretable Approximations COLT 2024 A Theory of Joint Light and Heat Transport for Lambertian Scenes CVPR 2024 A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks ICML 2024 A Theory of Optimistically Universal Online Learnability for General Concept Classes NeurIPS 2024 A Thorough Examination of Decoding Methods in the Era of LLMs EMNLP 2024 Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication NeurIPS 2024 A Top-Down Tree Model Counter for Quantified Boolean Formulas IJCAI 2024 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance ICLR 2024 ATQ: Activation Transformation forWeight-Activation Quantization of Large Language Models EMNLP 2024 A Training Data Recipe to Accelerate A* Search with Language Models EMNLP 2024 ATS: Adaptive Temperature Scaling for Enhancing Out-of-Distribution Detection Methods WACV 2024 Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation NAACL 2024 Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models ICLR 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NeurIPS 2024 Attribute Diversity Determines the Systematicity Gap in VQA EMNLP 2024 AttributionBench: How Hard is Automatic Attribution Evaluation? ACL 2024 A two-scale Complexity Measure for Deep Learning Models NeurIPS 2024 AUC Maximization under Positive Distribution Shift NeurIPS 2024 Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games ICML 2024 AudioMarkBench: Benchmarking Robustness of Audio Watermarking NeurIPS 2024 Auditing Fairness under Unobserved Confounding AISTATS 2024