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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)

Asynchronous Single-Photon 3D Imaging ICCV 2019 Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization IJCAI 2019 A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks ICML 2019 A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019 A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning CVPR 2019 A Theory of Regularized Markov Decision Processes ICML 2019 A Theory of Selective Prediction COLT 2019 A Theory of State Abstraction for Reinforcement Learning AAAI 2019 A Tighter Analysis of Randomised Policy Iteration UAI 2019 A tight excess risk bound via a unified PAC-Bayesian–Rademacher–Shtarkov–MDL complexity ALT 2019 A Topological Regularizer for Classifiers via Persistent Homology AISTATS 2019 A Tour of Convolutional Networks Guided by Linear Interpreters ICCV 2019 Attacking Data Transforming Learners at Training Time AAAI 2019 Attending to Future Tokens for Bidirectional Sequence Generation EMNLP 2019 Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition Interspeech 2019 Attention is not Explanation NAACL 2019 Attention Optimization for Abstractive Document Summarization EMNLP 2019 Attentive Neural Processes ICLR 2019 Attentive Single-Tasking of Multiple Tasks CVPR 2019 AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation IJCAI 2019 Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models AISTATS 2019 Augmented Neural ODEs NeurIPS 2019 Augmenting and Tuning Knowledge Graph Embeddings UAI 2019 A Unified Bayesian Source Modelling for Determined Blind Source Separation Interspeech 2019 A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NeurIPS 2019