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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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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Memoryless Sequences for General Losses JMLR 2020 MergeNAS: Merge Operations into One for Differentiable Architecture Search IJCAI 2020 Meta-Consolidation for Continual Learning NeurIPS 2020 MetaFun: Meta-Learning with Iterative Functional Updates ICML 2020 Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes NeurIPS 2020 Meta-Learning with Adaptive Hyperparameters NeurIPS 2020 Meta-learning with Stochastic Linear Bandits ICML 2020 Meta-Learning with Warped Gradient Descent ICLR 2020 Metric-Free Individual Fairness in Online Learning NeurIPS 2020 Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics COLING 2020 MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020 Millions of Tiny Databases NSDI 2020 Minibatch Stochastic Approximate Proximal Point Methods NeurIPS 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020 Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection JMLR 2020 Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack ICML 2020 Minimal Solutions for Relative Pose With a Single Affine Correspondence CVPR 2020 Minimax Bounds for Generalized Linear Models NeurIPS 2020 Minimax Bounds for Structured Prediction Based on Factor Graphs AISTATS 2020 Minimax Classification with 0-1 Loss and Performance Guarantees NeurIPS 2020 Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons NeurIPS 2020 Minimax Estimation of Conditional Moment Models NeurIPS 2020 Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks NeurIPS 2020 Minimax Nonparametric Parallelism Test JMLR 2020