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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)

DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning JMLR 2025 DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization L4DC 2025 Deep Distributed Optimization for Large-Scale Quadratic Programming ICLR 2025 Deep Generative Models: Complexity, Dimensionality, and Approximation JMLR 2025 Deep Generative Quantile Bayes AISTATS 2025 Deep Kernel Posterior Learning under Infinite Variance Prior Weights ICLR 2025 Deep Kernel Relative Test for Machine-generated Text Detection ICLR 2025 Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer ICML 2025 Deep MMD Gradient Flow without adversarial training ICLR 2025 Deep Neural Cellular Potts Models ICML 2025 Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation JMLR 2025 Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization JMLR 2025 Deep Random Features for Scalable Interpolation of Spatiotemporal Data ICLR 2025 Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines ICML 2025 DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search ICLR 2025 Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document AAAI 2025 DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks ICLR 2025 Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries ICLR 2025 Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning through Lens of Rate-Distortion-Perception Trade-Off WACV 2025 DeFine: Decision-Making with Analogical Reasoning over Factor Profiles ACL 2025 Degree of Interference: A General Framework For Causal Inference Under Interference JMLR 2025 DEIM: DETR with Improved Matching for Fast Convergence CVPR 2025 Delay as Payoff in MAB AAAI 2025 Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph ICML 2025 DeLLMa: Decision Making Under Uncertainty with Large Language Models ICLR 2025