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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Fast rates with high probability in exp-concave statistical learning AISTATS 2017 Fast Recursive Low-rank Tensor Learning for Regression IJCAI 2017 Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NeurIPS 2017 Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization IJCAI 2017 Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017 Fast SVM Trained by Divide-and-Conquer Anchors IJCAI 2017 Fast Trajectory Optimization for Agile Quadrotor Maneuvers with a Cable-Suspended Payload RSS 2017 Fast Video Classification via Adaptive Cascading of Deep Models CVPR 2017 Feature Selection Based on CQCCs for Automatic Speaker Verification Spoofing Interspeech 2017 FFTLasso: Large-Scale LASSO in the Fourier Domain CVPR 2017 Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017 Filtering Variational Objectives NeurIPS 2017 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NeurIPS 2017 Finite-sum Composition Optimization via Variance Reduced Gradient Descent AISTATS 2017 First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization NeurIPS 2017 Fisher Consistency for Prior Probability Shift JMLR 2017 Fitting Low-Rank Tensors in Constant Time NeurIPS 2017 Flowtune: Flowlet Control for Datacenter Networks NSDI 2017 Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex IJCAI 2017 Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities JMLR 2017 Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU ICML 2017 Follow the Moving Leader in Deep Learning ICML 2017 Forest-type Regression with General Losses and Robust Forest ICML 2017 Forward and Reverse Gradient-Based Hyperparameter Optimization ICML 2017 Foundations of Declarative Data Analysis Using Limit Datalog Programs IJCAI 2017