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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)

Déjà Vu Memorization in Vision–Language Models NeurIPS 2024 Delegating Data Collection in Decentralized Machine Learning AISTATS 2024 Deletion-Anticipative Data Selection with a Limited Budget ICML 2024 Delta-AI: Local objectives for amortized inference in sparse graphical models ICLR 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NeurIPS 2024 DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations NeurIPS 2024 DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking NeurIPS 2024 Delving into the Convergence of Generalized Smooth Minimax Optimization ICML 2024 Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NeurIPS 2024 Demonstration-Regularized RL ICLR 2024 Demystifying Linear MDPs and Novel Dynamics Aggregation Framework ICLR 2024 Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition ICLR 2024 Demystifying Poisoning Backdoor Attacks from a Statistical Perspective ICLR 2024 Demystifying SGD with Doubly Stochastic Gradients ICML 2024 Denoising Diffusion Step-aware Models ICLR 2024 Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer EMNLP 2024 Dense Associative Memory Through the Lens of Random Features NeurIPS 2024 DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging NeurIPS 2024 Dense Reward for Free in Reinforcement Learning from Human Feedback ICML 2024 Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NeurIPS 2024 Density Ratio Estimation with Doubly Strong Robustness ICML 2024 Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts ICML 2024 Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024 DePLM: Denoising Protein Language Models for Property Optimization NeurIPS 2024 Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria AAAI 2024