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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

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency AAAI 2025 Beyond Linear Steering: Unified Multi-Attribute Control for Language Models EMNLP 2025 Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning CVPR 2025 Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance ICML 2025 Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective ICCV 2025 Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm IJCAI 2025 Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games AAAI 2025 Beyond Memorization: Assessing Semantic Generalization in Large Language Models Using Phrasal Constructions IJCNLP 2025 Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity ICML 2025 Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification ICLR 2025 Beyond Next Token Prediction: Patch-Level Training for Large Language Models ICLR 2025 Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs EMNLP 2025 Beyond propagation of chaos: A stochastic algorithm for mean field optimization COLT 2025 Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs ICML 2025 Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity ACL 2025 Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis ACL 2025 Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities AAAI 2025 Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks ICLR 2025 Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation IJCNLP 2025 Beyond Surface-Level Patterns: An Essence-Driven Defense Framework Against Jailbreak Attacks in LLMs ACL 2025 Beyond Surprisal: A Dual Metric Framework for Lexical Skill Acquisition in LLMs COLING 2025 Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents EMNLP 2025 Beyond Text Compression: Evaluating Tokenizers Across Scales ACL 2025 Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs ICCV 2025 Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning EMNLP 2025