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)

Optimization-driven Demand Prediction Framework for Suburban Dynamic Demand-Responsive Transport Systems IJCAI 2023 Optimization-Inspired Cross-Attention Transformer for Compressive Sensing CVPR 2023 Optimization or Architecture: How to Hack Kalman Filtering NeurIPS 2023 Optimized Covariance Design for AB Test on Social Network under Interference NeurIPS 2023 Optimized Tokenization for Transcribed Error Correction EMNLP 2023 Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal NeurIPS 2023 Optimizing Hyperparameters with Conformal Quantile Regression ICML 2023 Optimizing Mode Connectivity for Class Incremental Learning ICML 2023 Optimizing Multiple Simultaneous Objectives for Voting and Facility Location AAAI 2023 Optimizing NOTEARS Objectives via Topological Swaps ICML 2023 Optimizing over trained GNNs via symmetry breaking NeurIPS 2023 Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023 Optimizing ROC Curves with a Sort-Based Surrogate Loss for Binary Classification and Changepoint Detection JMLR 2023 Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method NeurIPS 2023 Optimizing Spca-based Continual Learning: A Theoretical Approach ICLR 2023 Optimizing Test-Time Query Representations for Dense Retrieval ACL 2023 Optimizing the Computation of Overriding in DLN (Extended Abstract) IJCAI 2023 Optimizing the Placement of Roadside LiDARs for Autonomous Driving ICCV 2023 Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making COLT 2023 Ordering-based Conditions for Global Convergence of Policy Gradient Methods NeurIPS 2023 Order-preserving Consistency Regularization for Domain Adaptation and Generalization ICCV 2023 Origins of Low-Dimensional Adversarial Perturbations AISTATS 2023 Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold COLT 2023 OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning IJCAI 2023 OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels CVPR 2023