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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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Papers (including subtopics)

Controlled LLM Decoding via Discrete Auto-regressive Biasing ICLR 2025 Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models ACL 2025 Controlling Language Confusion in Multilingual LLMs ACL 2025 Control-oriented Clustering of Visual Latent Representation ICLR 2025 Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers EMNLP 2025 Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances AISTATS 2025 Convergence Analysis of Federated Learning Methods Using Backward Error Analysis AAAI 2025 Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity ICML 2025 Convergence and Divergence of Language Models under Different Random Seeds EMNLP 2025 Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification ICLR 2025 Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs JMLR 2025 Convergence of Distributed Adaptive Optimization with Local Updates ICLR 2025 Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization ICML 2025 Convergence of Policy Mirror Descent Beyond Compatible Function Approximation ICML 2025 Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis ICLR 2025 Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence AAAI 2025 Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation JMLR 2025 Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness ICLR 2025 Convex Formulations for Training Two-Layer ReLU Neural Networks ICLR 2025 Cooperation of Experts: Fusing Heterogeneous Information with Large Margin ICML 2025 Coordinate-based Speed of Sound Recovery for Aberration-Corrected Photoacoustic Computed Tomography ICCV 2025 CoPINN: Cognitive Physics-Informed Neural Networks ICML 2025 Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding JMLR 2025 Copyright-Protected Language Generation via Adaptive Model Fusion ICLR 2025 CopySpec: Accelerating LLMs with Speculative Copy-and-Paste EMNLP 2025