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)

Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data AAAI 2026 Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026 EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion AAAI 2026 Evolving Semantic Propagation for Aerial Semantic 3D Gaussian Splatting AAAI 2026 Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes AAAI 2026 ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models EACL 2026 Exogenous Randomness Empowering Random Forests JMLR 2026 Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services AAAI 2026 Experimentation on Endogenous Graphs AAAI 2026 Expert Advice with Costly Observations UAI 2026 Explaining Object Detectors via Collective Contribution of Pixels CVPR 2026 Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks AAAI 2026 Exploiting Space Folding by Neural Networks AAAI 2026 Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training AAAI 2026 Explore How to Inject Beneficial Noise in MLLMs AAAI 2026 Explore, Refine, then Commit: Nearly Optimal Multi-Group Mean Estimation with Active Learning UAI 2026 Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds AAAI 2026 Exploring Depth Generalization in Large Language Models for Solving Recursive Logic Tasks AAAI 2026 Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange AAAI 2026 Expressive Power of Graph Transformers via Logic AAAI 2026 Expressive Temporal Specifications for Reward Monitoring AAAI 2026 Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation JMLR 2026 Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems AAAI 2026 Fair Bayesian Data Selection via Generalized Discrepancy Measures AAAI 2026 Fairness Uncertainty Quantification: A Constrained Stochastic Optimization Perspective UAI 2026