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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks NeurIPS 2024 Precise Data Center Traffic Engineering with Constrained Hardware Resources NSDI 2024 Precise Model Benchmarking with Only a Few Observations EMNLP 2024 Predefined Prototypes for Intra-Class Separation and Disentanglement Interspeech 2024 Predicting Emergent Abilities with Infinite Resolution Evaluation ICLR 2024 Predicting generalization performance with correctness discriminators EMNLP 2024 Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms NeurIPS 2024 Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments NAACL 2024 Predicting Lagrangian Multipliers for Mixed Integer Linear Programs ICML 2024 Predicting the Performance of Foundation Models via Agreement-on-the-Line NeurIPS 2024 Predicting the Unpredictable: Uncertainty-Aware Reasoning over Temporal Knowledge Graphs via Diffusion Process ACL 2024 Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes COLT 2024 Prediction-Powered Ranking of Large Language Models NeurIPS 2024 Predictive Dynamic Fusion ICML 2024 Predictive Inference with Weak Supervision JMLR 2024 Predictive, scalable and interpretable knowledge tracing on structured domains ICLR 2024 Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning NeurIPS 2024 Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms ALT 2024 Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024 Preference-based Pure Exploration NeurIPS 2024 Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data ICML 2024 Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models ICML 2024 PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine AAAI 2024 Preparing Lessons for Progressive Training on Language Models AAAI 2024 PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling AAAI 2024