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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)

Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes NeurIPS 2020 Adaptive Interaction Modeling via Graph Operations Search CVPR 2020 Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment NeurIPS 2020 Adaptively Multi-Objective Adversarial Training for Dialogue Generation IJCAI 2020 Adaptive Neural Connections for Sparsity Learning WACV 2020 Adaptive Online Estimation of Piecewise Polynomial Trends NeurIPS 2020 Adaptive Online Kernel Sampling for Vertex Classification AISTATS 2020 Adaptive Probing Policies for Shortest Path Routing NeurIPS 2020 Adaptive Rates for Total Variation Image Denoising JMLR 2020 Adaptive Sampling for Stochastic Risk-Averse Learning NeurIPS 2020 Adaptive Smoothing for Path Integral Control JMLR 2020 AdaScale SGD: A User-Friendly Algorithm for Distributed Training ICML 2020 AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning NeurIPS 2020 A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints JMLR 2020 AdaTune: Adaptive Tensor Program Compilation Made Efficient NeurIPS 2020 Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020 Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task EMNLP 2020 Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation ACL 2020 A Decentralized Parallel Algorithm for Training Generative Adversarial Nets NeurIPS 2020 A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space COLING 2020 A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition IJCAI 2020 A determinantal point process for column subset selection JMLR 2020 A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences Interspeech 2020 A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric EMNLP 2020 A Distance-Weighted Class-Homogeneous Neighbourhood Ratio for Algorithm Selection ACML 2020