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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)

Optimal Cost Design for Model Predictive Control L4DC 2021 Optimal Counterfactual Explanations in Tree Ensembles ICML 2021 Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm COLT 2021 Optimal Dynamic Regret in Exp-Concave Online Learning COLT 2021 Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations ICML 2021 Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021 Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs CVPR 2021 Optimality of variational inference for stochasticblock model with missing links NeurIPS 2021 Optimal Off-Policy Evaluation from Multiple Logging Policies ICML 2021 Optimal Order Simple Regret for Gaussian Process Bandits NeurIPS 2021 Optimal prediction of Markov chains with and without spectral gap NeurIPS 2021 Optimal query complexity for private sequential learning against eavesdropping AISTATS 2021 Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime ICLR 2021 Optimal Rates for Nonparametric Density Estimation under Communication Constraints NeurIPS 2021 Optimal Rates for Random Order Online Optimization NeurIPS 2021 Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021 Optimal Regularization can Mitigate Double Descent ICLR 2021 Optimal Sketching for Trace Estimation NeurIPS 2021 Optimal Streaming Algorithms for Multi-Armed Bandits ICML 2021 Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates JMLR 2021 Optimal Transport for Deep Generative Models: State of the Art and Research Challenges IJCAI 2021 Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021 Optimal Underdamped Langevin MCMC Method NeurIPS 2021 Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NeurIPS 2021 Optimising Automatic Calibration of Electric Muscle Stimulation AAAI 2021