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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model NeurIPS 2019 Almost surely constrained convex optimization ICML 2019 A Local Block Coordinate Descent Algorithm for the CSC Model CVPR 2019 A Logic-Driven Framework for Consistency of Neural Models EMNLP 2019 Alternating Minimizations Converge to Second-Order Optimal Solutions ICML 2019 A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation EMNLP 2019 A Max-Affine Spline Perspective of Recurrent Neural Networks ICLR 2019 A maximum-mean-discrepancy goodness-of-fit test for censored data AISTATS 2019 A Mean Field Theory of Batch Normalization ICLR 2019 A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off NeurIPS 2019 A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems AISTATS 2019 A Meta-Analysis of Overfitting in Machine Learning NeurIPS 2019 AM-LFS: AutoML for Loss Function Search ICCV 2019 Amortized Bayesian Meta-Learning ICLR 2019 Amortized Bethe Free Energy Minimization for Learning MRFs NeurIPS 2019 Amortized Monte Carlo Integration ICML 2019 Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019 A Multi-Accent Acoustic Model Using Mixture of Experts for Speech Recognition Interspeech 2019 An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information AAAI 2019 An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums NeurIPS 2019 An adaptive Mirror-Prox method for variational inequalities with singular operators NeurIPS 2019 An adaptive nearest neighbor rule for classification NeurIPS 2019 An Alarm System for Segmentation Algorithm Based on Shape Model ICCV 2019 Analysis and Synthesis of Vocal Flutter and Vocal Jitter Interspeech 2019 Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019