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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

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828
3,646
5,854
2000
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Papers (including subtopics)

RL for Latent MDPs: Regret Guarantees and a Lower Bound NeurIPS 2021 RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem NeurIPS 2021 RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions ICCV 2021 RMSprop converges with proper hyper-parameter ICLR 2021 RNNRepair: Automatic RNN Repair via Model-based Analysis ICML 2021 RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting ICML 2021 Robot Reinforcement Learning on the Constraint Manifold CoRL 2021 Robust and differentially private mean estimation NeurIPS 2021 Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems NeurIPS 2021 Robust Bandit Learning with Imperfect Context AAAI 2021 Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021 Robust Compressed Sensing MRI with Deep Generative Priors NeurIPS 2021 Robust Contextual Bandits via Bootstrapping AAAI 2021 Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021 Robust early-learning: Hindering the memorization of noisy labels ICLR 2021 Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021 Robust Generalization despite Distribution Shift via Minimum Discriminating Information NeurIPS 2021 Robust hypothesis testing and distribution estimation in Hellinger distance AISTATS 2021 Robustifying Algorithms of Learning Latent Trees with Vector Variables NeurIPS 2021 Robust Implicit Networks via Non-Euclidean Contractions NeurIPS 2021 Robust Inference for High-Dimensional Linear Models via Residual Randomization ICML 2021 Robust Learning for Data Poisoning Attacks ICML 2021 Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time ICLR 2021 Robust Learning of Optimal Auctions NeurIPS 2021 Robust Learning under Strong Noise via SQs AISTATS 2021