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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
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828
3,646
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2000
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Papers (including subtopics)

AutoSampling: Search for Effective Data Sampling Schedules ICML 2021 Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation ICLR 2021 AutoSpace: Neural Architecture Search With Less Human Interference ICCV 2021 AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models ACL 2021 Auxiliary Learning by Implicit Differentiation ICLR 2021 A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization ICML 2021 A variational approximate posterior for the deep Wishart process NeurIPS 2021 A variational approximation for analyzing the dynamics of panel data UAI 2021 A Variational Inference Approach to Learning Multivariate Wold Processes AISTATS 2021 A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition WACV 2021 Avenir: Managing Data Plane Diversity with Control Plane Synthesis NSDI 2021 Average-case Acceleration for Bilinear Games and Normal Matrices ICLR 2021 Average-Case Communication Complexity of Statistical Problems COLT 2021 Average-Reward Off-Policy Policy Evaluation with Function Approximation ICML 2021 Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks AAAI 2021 A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021 A Weight Moving Average Based Alternate Decoupled Learning Algorithm for Long-Tailed Language Identification Interspeech 2021 A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021 BabelCalib: A Universal Approach to Calibrating Central Cameras ICCV 2021 Backdoor Scanning for Deep Neural Networks through K-Arm Optimization ICML 2021 Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks ICML 2021 Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks AAAI 2021 Bag of Tricks for Optimizing Transformer Efficiency EMNLP 2021 Balanced sampling for an object detection problem - application to fetal anatomies detection MIDL 2021 Banach Space Representer Theorems for Neural Networks and Ridge Splines JMLR 2021