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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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828
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2000
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Papers (including subtopics)

Are deep ResNets provably better than linear predictors? NeurIPS 2019 A Refined Margin Distribution Analysis for Forest Representation Learning NeurIPS 2019 A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing EMNLP 2019 A Regularization-based Framework for Bilingual Grammar Induction EMNLP 2019 A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning NeurIPS 2019 A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019 A Representer Theorem for Deep Kernel Learning JMLR 2019 A Representer Theorem for Deep Neural Networks JMLR 2019 Are sample means in multi-armed bandits positively or negatively biased? NeurIPS 2019 AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs ICML 2019 A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning IJCAI 2019 Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection ACL 2019 Are we there yet? Manifold identification of gradient-related proximal methods AISTATS 2019 Argumentative Evidences Classification and Argument Scheme Detection Using Tree Kernels ACL 2019 A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction NAACL 2019 ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks ICLR 2019 A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance AAAI 2019 A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions NeurIPS 2019 A rotation-equivariant convolutional neural network model of primary visual cortex ICLR 2019 ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables ICML 2019 Articulatory Copy Synthesis Based on a Genetic Algorithm Interspeech 2019 Artificial Bandwidth Extension Using H∞ Optimization Interspeech 2019 Artificial Constraints and Hints for Unbounded Online Learning COLT 2019 Artificial Counselor System for Stock Investment AAAI 2019 A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression AAAI 2019