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)

Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy COLT 2025 Decision Making in Hybrid Environments: A Model Aggregation Approach COLT 2025 Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets ICML 2025 Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents ICML 2025 Decision Tree Induction Through LLMs via Semantically-Aware Evolution ICLR 2025 DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing IJCAI 2025 Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation COLING 2025 Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies ICLR 2025 Decoding Speculative Decoding NAACL 2025 Decomposed Distribution Matching in Dataset Condensation WACV 2025 Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction AAAI 2025 Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance? NAACL 2025 Decomposition Polyhedra of Piecewise Linear Functions ICLR 2025 Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction IJCAI 2025 Deconstructing Attention: Investigating Design Principles for Effective Language Modeling IJCNLP 2025 Deconstructing What Makes a Good Optimizer for Autoregressive Language Models ICLR 2025 Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs ICLR 2025 Decoupled Imbalanced Label Distribution Learning IJCAI 2025 Decoupled SGDA for Games with Intermittent Strategy Communication ICML 2025 Decoupling Angles and Strength in Low-rank Adaptation ICLR 2025 Decoupling epistemic and aleatoric uncertainties with possibility theory AISTATS 2025 Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025 Decoupling Training-Free Guided Diffusion by ADMM CVPR 2025 Deep Adaptive Unfolded Network via Spatial Morphology Stripping and Spectral Filtration for Pan-sharpening ICCV 2025 Deep Bayesian Filter for Bayes-Faithful Data Assimilation ICML 2025