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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)

Generating Diverse Translation from Model Distribution with Dropout EMNLP 2020 Generating Narrative Text in a Switching Dynamical System CoNLL 2020 Generating Weighted MAX-2-SAT Instances with Frustrated Loops: an RBM Case Study JMLR 2020 Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate ICML 2020 Generative Flows with Matrix Exponential ICML 2020 Generative Hybrid Representations for Activity Forecasting With No-Regret Learning CVPR 2020 Generative Ratio Matching Networks ICLR 2020 Generative Semantic Hashing Enhanced via Boltzmann Machines ACL 2020 Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML 2020 GeoDA: A Geometric Framework for Black-Box Adversarial Attacks CVPR 2020 Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning ICLR 2020 Geometric Dataset Distances via Optimal Transport NeurIPS 2020 Geometric Exploration for Online Control NeurIPS 2020 Geometric Insights into the Convergence of Nonlinear TD Learning ICLR 2020 Gibbs Sampling with People NeurIPS 2020 Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models ICML 2020 Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems NeurIPS 2020 Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology NeurIPS 2020 Goal Recognition Design - Survey IJCAI 2020 GOBNILP: Learning Bayesian network structure with integer programming PGM 2020 Going Deeper With Lean Point Networks CVPR 2020 Goodness-of-Fit Tests for Inhomogeneous Random Graphs ICML 2020 Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection ICML 2020 GP-NAS: Gaussian Process Based Neural Architecture Search CVPR 2020 GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification NeurIPS 2020