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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)

Semiparametric Differential Graph Models NeurIPS 2016 Semiparametric Mean Field Variational Bayes: General Principles and Numerical Issues JMLR 2016 Semi-Supervised Joint Enhancement of Spectral and Cepstral Sequences of Noisy Speech Interspeech 2016 Semi-Supervised Training in Deep Learning Acoustic Model Interspeech 2016 Set-labelled filters and sensor transformations RSS 2016 Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NeurIPS 2016 Shortlist Selection With Residual-Aware Distance Estimator for K-Nearest Neighbor Search CVPR 2016 Should We Really Use Post-Hoc Tests Based on Mean-Ranks? JMLR 2016 Sign rank versus VC dimension COLT 2016 Simple and Scalable Constrained Clustering: a Generalized Spectral Method AISTATS 2016 Simple Bayesian Algorithms for Best Arm Identification COLT 2016 Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016 Simultaneous Clustering and Model Selection for Tensor Affinities CVPR 2016 Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling ICML 2016 Situated Language Understanding with Human-like and Visualization-Based Transparency RSS 2016 Slice Sampling on Hamiltonian Trajectories ICML 2016 SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement Interspeech 2016 Softened Approximate Policy Iteration for Markov Games ICML 2016 Soft-Segmentation Guided Object Motion Deblurring CVPR 2016 Solving Marginal MAP Problems with NP Oracles and Parity Constraints NeurIPS 2016 Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow NeurIPS 2016 Solving Ridge Regression using Sketched Preconditioned SVRG ICML 2016 Solving Small-Piece Jigsaw Puzzles by Growing Consensus CVPR 2016 Sparse Coding and Dictionary Learning With Linear Dynamical Systems CVPR 2016 Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity ICML 2016