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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)

Robust group and simultaneous inferences for high-dimensional single index model NeurIPS 2024 Robustifying and Boosting Training-Free Neural Architecture Search ICLR 2024 Robustifying State-space Models for Long Sequences via Approximate Diagonalization ICLR 2024 Robust Inverse Graphics via Probabilistic Inference ICML 2024 Robust Learning-Augmented Dictionaries ICML 2024 Robust Losses for Decision-Focused Learning IJCAI 2024 Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024 Robustly Learning Single-Index Models via Alignment Sharpness ICML 2024 Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024 Robust Mixture Learning when Outliers Overwhelm Small Groups NeurIPS 2024 Robust Model-Based Optimization for Challenging Fitness Landscapes ICLR 2024 Robust Multi-Task Learning with Excess Risks ICML 2024 Robust NAS under adversarial training: benchmark, theory, and beyond ICLR 2024 Robustness of Fine-Tuned Models for Machine Translation with Varying Noise Levels: Insights for Asturian, Aragonese and Aranese EMNLP 2024 Robustness of Nonlinear Representation Learning ICML 2024 Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales AAAI 2024 Robustness Verification of Multi-Class Tree Ensembles AAAI 2024 Robust Neural Contextual Bandit against Adversarial Corruptions NeurIPS 2024 Robust Nonparametric Regression under Poisoning Attack AAAI 2024 Robust Offline Active Learning on Graphs NeurIPS 2024 Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024 Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space ICML 2024 Robust Principal Component Analysis using Density Power Divergence JMLR 2024 Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks NeurIPS 2024 Robust Reinforcement Learning with General Utility NeurIPS 2024