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)

Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective JMLR 2025 Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs AISTATS 2025 Unbiased Quantization of the L_1 Ball for Communication-Efficient Distributed Mean Estimation AISTATS 2025 UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model ICML 2025 Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025 Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback ICLR 2025 Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes CoRL 2025 Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems EMNLP 2025 Uncertainty-Aware Contrastive Decoding ACL 2025 Uncertainty-Aware Decoding with Minimum Bayes Risk ICLR 2025 Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes ICCV 2025 Uncertainty-Aware Gradient Stabilization for Small Object Detection ICCV 2025 Uncertainty-Aware Iterative Preference Optimization for Enhanced LLM Reasoning ACL 2025 Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach WACV 2025 Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition AAAI 2025 Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification RSS 2025 Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos ICML 2025 Uncertainty-driven Partial Diacritization for Arabic Text EMNLP 2025 Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory ICML 2025 Uncertainty-Guided Metric Learning without Labels WACV 2025 Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model CVPR 2025 Uncertainty Herding: One Active Learning Method for All Label Budgets ICLR 2025 Uncertainty in Causality: A New Frontier ACL 2025 Uncertainty in Semantic Language Modeling with PIXELS EMNLP 2025 UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025