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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)

Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration NeurIPS 2020 Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping JMLR 2020 Proving Semantic Properties as First-Order Satisfiability (Extended Abstract) IJCAI 2020 Proving the Lottery Ticket Hypothesis: Pruning is All You Need ICML 2020 Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization IJCAI 2020 Proximal Mapping for Deep Regularization NeurIPS 2020 Proximity Operator of the Matrix Perspective Function and its Applications NeurIPS 2020 ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization JMLR 2020 ProxSGD: Training Structured Neural Networks under Regularization and Constraints ICLR 2020 Proxy Anchor Loss for Deep Metric Learning CVPR 2020 Pruned Graph Scattering Transforms ICLR 2020 Pruning from Scratch AAAI 2020 Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior EMNLP 2020 PsuedoProp at SemEval-2020 Task 11: Propaganda Span Detection Using BERT-CRF and Ensemble Sentence Level Classifier SemEval 2020 Pure and Spurious Critical Points: a Geometric Study of Linear Networks ICLR 2020 PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR Interspeech 2020 PyDL8.5: a Library for Learning Optimal Decision Trees IJCAI 2020 Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison UAI 2020 QEBA: Query-Efficient Boundary-Based Blackbox Attack CVPR 2020 Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP ICLR 2020 QR-code Reconstruction from Event Data via Optimization in Code Subspace WACV 2020 Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints ICML 2020 Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables IJCAI 2020 Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020 Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel ICLR 2020