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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)

Unified Binary and Multiclass Margin-Based Classification JMLR 2024 Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks ICLR 2024 Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NeurIPS 2024 Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding ACL 2024 Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NeurIPS 2024 Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling UAI 2024 Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024 Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets JMLR 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning NeurIPS 2024 Uniformly Stable Algorithms for Adversarial Training and Beyond ICML 2024 Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models ICML 2024 Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations ICML 2024 UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024 United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus AAAI 2024 United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit AAAI 2024 Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes ICML 2024 Universal Exact Compression of Differentially Private Mechanisms NeurIPS 2024 Universal Gradient Methods for Stochastic Convex Optimization ICML 2024 Universal In-Context Approximation By Prompting Fully Recurrent Models NeurIPS 2024 Universality in Transfer Learning for Linear Models NeurIPS 2024 Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction NeurIPS 2024 Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models COLT 2024 Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024 Universal Neural Functionals NeurIPS 2024 Universal Online Convex Optimization with $1$ Projection per Round NeurIPS 2024