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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)

Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025 Universal Neural Optimal Transport ICML 2025 Universal Online Convex Optimization Meets Second-order Bounds JMLR 2025 Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems AAAI 2025 Universal Rates for Multiclass Learning with Bandit Feedback COLT 2025 Universal Rates of ERM for Agnostic Learning COLT 2025 Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos ICLR 2025 Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate NAACL 2025 Unlearning-based Neural Interpretations ICLR 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025 Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts NAACL 2025 Unlocking ECMP Programmability for Precise Traffic Control NSDI 2025 Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning ICLR 2025 Unlocking Global Optimality in Bilevel Optimization: A Pilot Study ICLR 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting AAAI 2025 Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective ICML 2025 Unpacking Ambiguity: The Interaction of Polysemous Discourse Markers and Non-DM Signals EMNLP 2025 Unpaired Point Cloud Completion via Unbalanced Optimal Transport ICML 2025 Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning ACL 2025 Unraveling the Mystery: Defending Against Jailbreak Attacks Via Unearthing Real Intention COLING 2025 Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective ICCV 2025 Unstable Grounds for Beautiful Trees? Testing the Robustness of Concept Translations in the Compilation of Multilingual Wordlists ACL 2025 Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models ACL 2025 Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing ACL 2025 Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio EMNLP 2025