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)

Multi-language Diversity Benefits Autoformalization NeurIPS 2024 Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning ICML 2024 Multi-LLM Debate: Framework, Principals, and Interventions NeurIPS 2024 Multimarginal Generative Modeling with Stochastic Interpolants ICLR 2024 Multi-modal conformal prediction regions by optimizing convex shape templates L4DC 2024 Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications ICLR 2024 Multimodal Sleep Apnea Detection with Missing or Noisy Modalities MLHC 2024 Multi-modal Stance Detection: New Datasets and Model ACL 2024 Multi-model Ensemble Conformal Prediction in Dynamic Environments NeurIPS 2024 Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024 Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization COLING 2024 Multi-Objective Learning for Deformable Image Registration MIDL 2024 Multiobjective Lipschitz Bandits under Lexicographic Ordering AAAI 2024 Multi-Objective Neural Architecture Search by Learning Search Space Partitions JMLR 2024 Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024 Multiple Descent in the Multiple Random Feature Model JMLR 2024 Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization AAAI 2024 MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step NeurIPS 2024 Multi-Response Linear Discriminant Analysis in High Dimensions JMLR 2024 Multi-Reward Best Policy Identification NeurIPS 2024 Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering CVPR 2024 Multi-Scale Dual-Attention Unfolding Network for Compressed Sensing Image Reconstruction ACML 2024 Multi-Sender Persuasion: A Computational Perspective ICML 2024 Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NeurIPS 2024 Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models AAAI 2024