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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)

Sanity Checks for Saliency Maps NeurIPS 2018 SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation ICML 2018 SBNet: Sparse Blocks Network for Fast Inference CVPR 2018 Scalable Bayes via Barycenter in Wasserstein Space JMLR 2018 Scalable Bilinear Pi Learning Using State and Action Features ICML 2018 Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation NeurIPS 2018 Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018 Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF) ICML 2018 Scalable Generalized Dynamic Topic Models AISTATS 2018 Scalable Hash-Based Estimation of Divergence Measures AISTATS 2018 Scalable Laplacian K-modes NeurIPS 2018 Scalable Robust Matrix Factorization with Nonconvex Loss NeurIPS 2018 Scalar Posterior Sampling with Applications NeurIPS 2018 Scale-Recurrent Network for Deep Image Deblurring CVPR 2018 Scaling Gaussian Process Regression with Derivatives NeurIPS 2018 Scaling the Poisson GLM to massive neural datasets through polynomial approximations NeurIPS 2018 Scaling up Data Augmentation MCMC via Calibration JMLR 2018 Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes AISTATS 2018 SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning AISTATS 2018 Search Progress and Potentially Expanded States in Greedy Best-First Search IJCAI 2018 SEGA: Variance Reduction via Gradient Sketching NeurIPS 2018 Self-Normalization Properties of Language Modeling COLING 2018 Semidefinite relaxations for certifying robustness to adversarial examples NeurIPS 2018 Semi-Implicit Variational Inference ICML 2018 Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks Interspeech 2018