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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

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52
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828
3,646
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2000
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Papers (including subtopics)

Data subsampling for Poisson regression with pth-root-link NeurIPS 2024 Data Summarization via Bilevel Optimization JMLR 2024 Data Thinning for Convolution-Closed Distributions JMLR 2024 DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning AAAI 2024 DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding COLING 2024 D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models NeurIPS 2024 Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning AAAI 2024 DeBERTa Beats Behemoths: A Comparative Analysis of Fine-Tuning, Prompting, and PEFT Approaches on LegalLensNER EMNLP 2024 Debiased Distribution Compression ICML 2024 Debiasing Evaluations That Are Biased by Evaluations JMLR 2024 Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations NAACL 2024 Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers ICML 2024 Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization AAAI 2024 Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024 Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions NeurIPS 2024 Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits AAAI 2024 Decentralized Sum-of-Nonconvex Optimization AAAI 2024 Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning EMNLP 2024 Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations CVPR 2024 Decision boundary learning for safe vision-based navigation via Hamilton-Jacobi reachability analysis and support vector machine L4DC 2024 Decision-Focused Evaluation of Worst-Case Distribution Shift UAI 2024 Decision-Focused Learning with Directional Gradients NeurIPS 2024 Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024 Decoder-only Architecture for Streaming End-to-end Speech Recognition Interspeech 2024