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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)

Order-Dependent Event Models for Agent Interactions IJCAI 2020 Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization AISTATS 2020 Ordering Variables for Weighted Model Integration UAI 2020 Ordinal Non-negative Matrix Factorization for Recommendation ICML 2020 Organizing recurrent network dynamics by task-computation to enable continual learning NeurIPS 2020 Orlicz Random Fourier Features JMLR 2020 Orthogonal Convolutional Neural Networks CVPR 2020 Orthogonal Gradient Descent for Continual Learning AISTATS 2020 Orthogonalized SGD and Nested Architectures for Anytime Neural Networks ICML 2020 OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits AISTATS 2020 OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling NeurIPS 2020 Outlier Robust Mean Estimation with Subgaussian Rates via Stability NeurIPS 2020 Overcoming Catastrophic Forgetting by Neuron-Level Plasticity Control AAAI 2020 Overestimation of Syntactic Representation in Neural Language Models ACL 2020 Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NeurIPS 2020 Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate Operations IJCAI 2020 Overload Control for µs-scale RPCs with Breakwater OSDI 2020 Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality NeurIPS 2020 Overview of NLPTEA-2020 Shared Task for Chinese Grammatical Error Diagnosis AACL 2020 PAC-Bayes Analysis Beyond the Usual Bounds NeurIPS 2020 PAC-Bayesian Bound for the Conditional Value at Risk NeurIPS 2020 PAC-Bayesian Contrastive Unsupervised Representation Learning UAI 2020 PAC-Bayes Learning Bounds for Sample-Dependent Priors NeurIPS 2020 PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction ICLR 2020 PAC learning with stable and private predictions COLT 2020