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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 Complex Task Assignment in Service Crowdsourcing IJCAI 2020 Optimal Continual Learning has Perfect Memory and is NP-hard ICML 2020 Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms JMLR 2020 Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization NeurIPS 2020 Optimal Estimation of Sparse Topic Models JMLR 2020 Optimal Group Testing COLT 2020 Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform NeurIPS 2020 Optimality, Accuracy, and Efficiency of an Exact Functional Test IJCAI 2020 Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes COLT 2020 Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient NeurIPS 2020 Optimally Deceiving a Learning Leader in Stackelberg Games NeurIPS 2020 Optimal Margin Distribution Learning in Dynamic Environments AAAI 2020 Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer ICML 2020 Optimal Planning Modulo Theories IJCAI 2020 Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems IJCAI 2020 Optimal Prediction of the Number of Unseen Species with Multiplicity NeurIPS 2020 Optimal Query Complexity of Secure Stochastic Convex Optimization NeurIPS 2020 Optimal Robust Learning of Discrete Distributions from Batches ICML 2020 Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms NeurIPS 2020 Optimal Statistical Hypothesis Testing for Social Choice UAI 2020 Optimal Strategies Against Generative Attacks ICLR 2020 Optimal transport mapping via input convex neural networks ICML 2020 Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NeurIPS 2020 Optimistic Bounds for Multi-output Learning ICML 2020 Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities NeurIPS 2020