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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)

On Differentially Private Sampling from Gaussian and Product Distributions NeurIPS 2023 On Discovering Interesting Combinatorial Integer Sequences IJCAI 2023 On Distance and Kernel Measures of Conditional Dependence JMLR 2023 On double-descent in uncertainty quantification in overparametrized models AISTATS 2023 On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NeurIPS 2023 One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits AISTATS 2023 One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models NeurIPS 2023 OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling NeurIPS 2023 On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network ICML 2023 On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023 One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning AISTATS 2023 On Error and Compression Rates for Prototype Rules AAAI 2023 One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding ICML 2023 One-Shot Federated Conformal Prediction ICML 2023 One-Shot Model for Mixed-Precision Quantization CVPR 2023 One-step differentiation of iterative algorithms NeurIPS 2023 On Evaluating Multilingual Compositional Generalization with Translated Datasets ACL 2023 One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training ICML 2023 One Wide Feedforward Is All You Need EMNLP 2023 On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances ICML 2023 On Generalization Bounds for Projective Clustering NeurIPS 2023 On Generalization of Decentralized Learning with Separable Data AISTATS 2023 On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs ICML 2023 On inference and learning with probabilistic generating circuits UAI 2023 On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023