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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)

Protecting Elections by Recounting Ballots IJCAI 2019 Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes NeurIPS 2019 Provable Gradient Variance Guarantees for Black-Box Variational Inference NeurIPS 2019 Provable Guarantees for Gradient-Based Meta-Learning ICML 2019 Provable Non-linear Inductive Matrix Completion NeurIPS 2019 Provably Accurate Double-Sparse Coding JMLR 2019 Provably Efficient Maximum Entropy Exploration ICML 2019 Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NeurIPS 2019 Provably Powerful Graph Networks NeurIPS 2019 Provably Robust Blackbox Optimization for Reinforcement Learning CoRL 2019 Provably robust boosted decision stumps and trees against adversarial attacks NeurIPS 2019 Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NeurIPS 2019 Proximal Distance Algorithms: Theory and Practice JMLR 2019 Proximal Mean-Field for Neural Network Quantization ICCV 2019 Proximal Splitting Meets Variance Reduction AISTATS 2019 ProxQuant: Quantized Neural Networks via Proximal Operators ICLR 2019 Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior AISTATS 2019 Pseudo-Extended Markov chain Monte Carlo NeurIPS 2019 Pure Exploration with Multiple Correct Answers NeurIPS 2019 Pushing the Range Limits of Commercial Passive RFIDs NSDI 2019 Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently NeurIPS 2019 Putting An End to End-to-End: Gradient-Isolated Learning of Representations NeurIPS 2019 PyTorch: An Imperative Style, High-Performance Deep Learning Library NeurIPS 2019 QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization EMNLP 2019 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NeurIPS 2019