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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)

DR Loss: Improving Object Detection by Distributional Ranking CVPR 2020 DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration MIDL 2020 DropNAS: Grouped Operation Dropout for Differentiable Architecture Search IJCAI 2020 DropNet: Reducing Neural Network Complexity via Iterative Pruning ICML 2020 DSNAS: Direct Neural Architecture Search Without Parameter Retraining CVPR 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020 Dual Extrapolation for Sparse GLMs JMLR 2020 Dual-Free Stochastic Decentralized Optimization with Variance Reduction NeurIPS 2020 Dual Instrumental Variable Regression NeurIPS 2020 Dual Iterative Hard Thresholding JMLR 2020 Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion NeurIPS 2020 Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses ICML 2020 Dual Learning: Theoretical Study and an Algorithmic Extension ACML 2020 Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks NeurIPS 2020 Dual Mirror Descent for Online Allocation Problems ICML 2020 Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks ICML 2020 Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation Interspeech 2020 DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs IJCAI 2020 Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020 Duration-of-Stay Storage Assignment under Uncertainty ICLR 2020 Dynamic allocation of limited memory resources in reinforcement learning NeurIPS 2020 Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change ACL 2020 Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification NeurIPS 2020 Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020 Dynamical Systems as Temporal Feature Spaces JMLR 2020