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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 Elimination Strategies for Bandit Fixed-Confidence Identification NeurIPS 2022 On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation NeurIPS 2022 One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes ICML 2022 On Facility Location Problem in the Local Differential Privacy Model AISTATS 2022 On feature learning in neural networks with global convergence guarantees ICLR 2022 On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis ICML 2022 On Gap-dependent Bounds for Offline Reinforcement Learning NeurIPS 2022 On global convergence of ResNets: From finite to infinite width using linear parameterization NeurIPS 2022 On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice NeurIPS 2022 On Implicit Bias in Overparameterized Bilevel Optimization ICML 2022 On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning ICML 2022 On Infinite Separations Between Simple and Optimal Mechanisms NeurIPS 2022 On Isotropy Calibration of Transformer Models ACL 2022 On Learning and Refutation in Noninteractive Local Differential Privacy NeurIPS 2022 On Learning Fairness and Accuracy on Multiple Subgroups NeurIPS 2022 On Learning Mixture Models with Sparse Parameters AISTATS 2022 On Learning Mixture of Linear Regressions in the Non-Realizable Setting ICML 2022 On Leave-One-Out Conditional Mutual Information For Generalization NeurIPS 2022 Online Adversarial Attacks ICLR 2022 Online Algorithms with Multiple Predictions ICML 2022 Online Allocation and Learning in the Presence of Strategic Agents NeurIPS 2022 Online and Consistent Correlation Clustering ICML 2022 Online Approval Committee Elections IJCAI 2022 On Linear Model with Markov Signal Priors AISTATS 2022 Online Bipartite Matching with Advice: Tight Robustness-Consistency Tradeoffs for the Two-Stage Model NeurIPS 2022