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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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Papers (including subtopics)

Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making EMNLP 2025 Noise-Aware Differentially Private Variational Inference AISTATS 2025 NoiseCtrl: A Sampling-Algorithm-Agnostic Conditional Generation Method for Diffusion Models CVPR 2025 Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis CVPR 2025 Noise May Drown Out Words but Foster Compositionality: The Advantage of the Erasure and Deletion Noisy Channels on Emergent Communication IJCNLP 2025 Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning ICLR 2025 Noisy Computing of the Threshold Function ALT 2025 Noisy Low-Rank Matrix Completion via Transformed L_1 Regularization and its Theoretical Properties AISTATS 2025 Noisy SIGNSGD Is More Differentially Private Than You (Might) Think ICML 2025 No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods AAAI 2025 Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation ICLR 2025 Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails ICML 2025 Non-asymptotic Error Bounds in W_2-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity ICML 2025 Non-Asymptotic Length Generalization ICML 2025 Non-collective Calibrating Strategy for Time Series Forecasting IJCAI 2025 Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control CoRL 2025 Nonconvex Linear System Identification with Minimal State Representation L4DC 2025 Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity Extended Abstract COLT 2025 Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025 Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping ICLR 2025 Non-Convex Tensor Recovery from Local Measurements AAAI 2025 Nonconvex Theory of M-estimators with Decomposable Regularizers ICML 2025 Non-Determinism of “Deterministic” LLM System Settings in Hosted Environments AACL 2025 Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness ICML 2025 Nonlinear multiregion neural dynamics with parametric impulse response communication channels ICLR 2025