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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
5,854
2000
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Papers (including subtopics)

Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems NeurIPS 2021 RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union CVPR 2021 RankNAS: Efficient Neural Architecture Search by Pairwise Ranking EMNLP 2021 RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving ICCV 2021 Rank & Sort Loss for Object Detection and Instance Segmentation ICCV 2021 Rao-Blackwellised parallel MCMC AISTATS 2021 Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator ICLR 2021 RaSE: Random Subspace Ensemble Classification JMLR 2021 Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021 Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization AISTATS 2021 Rate-Regularization and Generalization in Variational Autoencoders AISTATS 2021 Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections NeurIPS 2021 Rationales for Sequential Predictions EMNLP 2021 RATT: Leveraging Unlabeled Data to Guarantee Generalization ICML 2021 Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021 RDI-Net: Relational Dynamic Inference Networks ICCV 2021 R-Drop: Regularized Dropout for Neural Networks NeurIPS 2021 Reaching Individually Stable Coalition Structures in Hedonic Games AAAI 2021 Realistic evaluation of transductive few-shot learning NeurIPS 2021 Real-Time Pricing Optimization for Ride-Hailing Quality of Service IJCAI 2021 Real-Time Speaker Counting in a Cocktail Party Scenario Using Attention-Guided Convolutional Neural Network Interspeech 2021 Reanalyzing the Most Probable Sentence Problem: A Case Study in Explicating the Role of Entropy in Algorithmic Complexity EACL 2021 Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension AAAI 2021 Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer EMNLP 2021 Rebounding Bandits for Modeling Satiation Effects NeurIPS 2021