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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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Papers (including subtopics)

Triple descent and the two kinds of overfitting: where & why do they appear? NeurIPS 2020 TRPLP - Trifocal Relative Pose From Lines at Points CVPR 2020 TRP: Trained Rank Pruning for Efficient Deep Neural Networks IJCAI 2020 TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources AAAI 2020 True Nonlinear Dynamics from Incomplete Networks AAAI 2020 Truncated Linear Regression in High Dimensions NeurIPS 2020 Trust-Region Variational Inference with Gaussian Mixture Models JMLR 2020 Truth or backpropaganda? An empirical investigation of deep learning theory ICLR 2020 Truth or Error? Towards systematic analysis of factual errors in abstractive summaries EMNLP 2020 Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits COLT 2020 Tuning Causal Discovery Algorithms PGM 2020 Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems ICML 2020 Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly JMLR 2020 TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog EMNLP 2020 Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020 Twine: A Unified Cluster Management System for Shared Infrastructure OSDI 2020 Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology AAAI 2020 Two-Grid Preconditioned Solver for Bundle Adjustment WACV 2020 Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks PGM 2020 Two Routes to Scalable Credit Assignment without Weight Symmetry ICML 2020 Two-sample Testing Using Deep Learning AISTATS 2020 Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data JMLR 2020 Ultra-Low Precision 4-bit Training of Deep Neural Networks NeurIPS 2020 UNAS: Differentiable Architecture Search Meets Reinforcement Learning CVPR 2020 Unbalanced Sobolev Descent NeurIPS 2020