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)

Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget UAI 2025 Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning ACML 2025 Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure ICLR 2025 Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection JMLR 2025 Asymptotics of Linear Regression with Linearly Dependent Data L4DC 2025 Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025 Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs AISTATS 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset ICCV 2025 Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models ICLR 2025 A Systematic Analysis of Base Model Choice for Reward Modeling EMNLP 2025 A Systematic Examination of Preference Learning through the Lens of Instruction-Following NAACL 2025 A Systematic Survey of Automatic Prompt Optimization Techniques EMNLP 2025 ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning ICML 2025 A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks L4DC 2025 A Theoretical Framework For Overfitting In Energy-based Modeling ICML 2025 A Theoretical Framework for Partially-Observed Reward States in RLHF ICLR 2025 A Theoretical Justification for Asymmetric Actor-Critic Algorithms ICML 2025 A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules ICLR 2025 A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops ICLR 2025 A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization IJCAI 2025 A Theory for Conditional Generative Modeling on Multiple Data Sources ICML 2025 A Theory for Token-Level Harmonization in Retrieval-Augmented Generation ICLR 2025 A Theory of Formalisms for Representing Knowledge AAAI 2025 A Theory of Initialisation's Impact on Specialisation ICLR 2025