Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Probabilistic ODE solvers for integration error-aware numerical optimal control L4DC 2024 Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024 Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search ICML 2024 Probabilistic size-and-shape functional mixed models NeurIPS 2024 Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning ICML 2024 Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model ICML 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NeurIPS 2024 Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation AAAI 2024 Probably approximately correct stability of allocations in uncertain coalitional games with private sampling L4DC 2024 ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling NAACL 2024 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NeurIPS 2024 Prodigy: An Expeditiously Adaptive Parameter-Free Learner ICML 2024 PRODuctive bandits: Importance Weighting No More NeurIPS 2024 Program-Aided Reasoners (Better) Know What They Know NAACL 2024 Programmable Motion Generation for Open-Set Motion Control Tasks CVPR 2024 Program Synthesis with Best-First Bottom-Up Search (Abstract Reprint) AAAI 2024 Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts ICLR 2024 Progressive Entropic Optimal Transport Solvers NeurIPS 2024 Progressive Tuning: Towards Generic Sentiment Abilities for Large Language Models ACL 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024 Projection-Free Online Convex Optimization with Time-Varying Constraints ICML 2024 Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization ICML 2024 PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates JMLR 2024 Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions NeurIPS 2024 PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought CVPR 2024