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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

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52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains CVPR 2025 A Theory of Learning with Autoregressive Chain of Thought COLT 2025 A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive ACL 2025 A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models AAAI 2025 A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems ICLR 2025 A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage AISTATS 2025 ATLANTIS: Weak-to-Strong Learning via Importance Sampling ACL 2025 Atomic Consistency Preference Optimization for Long-Form Question Answering IJCNLP 2025 AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025 ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks CVPR 2025 A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation EMNLP 2025 A Trichotomy for List Transductive Online Learning ICML 2025 A Truncated Newton Method for Optimal Transport ICLR 2025 Attack-inspired Calibration Loss for Calibrating Crack Recognition AAAI 2025 Attention-based Conditional Random Field for Financial Fraud Detection IJCAI 2025 Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models ACL 2025 Attention layers provably solve single-location regression ICLR 2025 Attention with Markov: A Curious Case of Single-layer Transformers ICLR 2025 A Two-Head Loss Function for Deep Average-K Classification WACV 2025 A Two-Stage Learning-to-Defer Approach for Multi-Task Learning ICML 2025 Auditing and Enforcing Conditional Fairness via Optimal Transport AAAI 2025 Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract) AAAI 2025 A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions CVPR 2025 A Unified Approach to Routing and Cascading for LLMs ICML 2025 A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization ICML 2025