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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)

High Dimensional Linear Regression using Lattice Basis Reduction NeurIPS 2018 Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation ACL 2018 High-Order Tensor Regularization With Application to Attribute Ranking CVPR 2018 High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach ICML 2018 High-Speed Tracking With Multi-Kernel Correlation Filters CVPR 2018 Hinge-Minimax Learner for the Ensemble of Hyperplanes JMLR 2018 HOGWILD!-Gibbs can be PanAccurate NeurIPS 2018 HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step AISTATS 2018 Horizon-Independent Minimax Linear Regression NeurIPS 2018 How Deep Are Deep Gaussian Processes? JMLR 2018 How Does Batch Normalization Help Optimization? NeurIPS 2018 How Many Samples are Needed to Estimate a Convolutional Neural Network? NeurIPS 2018 How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NeurIPS 2018 How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective NeurIPS 2018 How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD NeurIPS 2018 How to Start Training: The Effect of Initialization and Architecture NeurIPS 2018 How to tell when a clustering is (approximately) correct using convex relaxations NeurIPS 2018 Human-Centric Indoor Scene Synthesis Using Stochastic Grammar CVPR 2018 Hybrid Camera Pose Estimation CVPR 2018 Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks NeurIPS 2018 HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty RSS 2018 Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization JMLR 2018 Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN ACML 2018 Hyperparameter optimization: a spectral approach ICLR 2018 Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning CVPR 2018