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)

Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators AAAI 2026 Towards a Rigorous Understanding of the Population Dynamics of the NSGA-III: Tight Runtime Bounds AAAI 2026 Towards Better Correctness and Efficiency in Code Generation AAAI 2026 Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance AAAI 2026 Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions JMLR 2026 Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework AAAI 2026 Toward Simultaneously Optimal Regret in U-Calibration COLT 2026 Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding AAAI 2026 Towards Provably Unlearnable Examples via Bayes Error Optimization AAAI 2026 Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV 2026 Towards Robust Edge Model Adaptation via Elastic Architecture Search AAAI 2026 Towards Ultrasound-based Reliable Disease Diagnosis Using Causal Inference AAAI 2026 Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs AAAI 2026 Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios AAAI 2026 Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance AAAI 2026 Toward Trustworthy AI for Decision Making in Population Health AAAI 2026 TRACE: A Framework for Analyzing and Enhancing Stepwise Reasoning in Vision-Language Models EACL 2026 TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization AAAI 2026 TRACE: Trajectory-based Activation Change Estimation for Task-specific Data Selection AAAI 2026 TrackGS: Optimizing COLMAP-Free 3D Gaussian Splatting with Global Track Constraints AAAI 2026 Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge EACL 2026 Tractable Sharpness-Aware Learning of Probabilistic Circuits AAAI 2026 Tractable Weighted First-Order Model Counting with Bounded Treewidth Binary Evidence AAAI 2026 Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities AAAI 2026 Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers AAAI 2026