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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)

Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global ICML 2018 Deep Neural Nets with Interpolating Function as Output Activation NeurIPS 2018 Deep Noise Tracking Network: A Hybrid Signal Processing/Deep Learning Approach to Speech Enhancement Interspeech 2018 Deep One-Class Classification ICML 2018 Deep Poisson gamma dynamical systems NeurIPS 2018 Deep Regression Forests for Age Estimation CVPR 2018 Deep Rewiring: Training very sparse deep networks ICLR 2018 Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons CVPR 2018 Deep Spatio-Temporal Random Fields for Efficient Video Segmentation CVPR 2018 Deep State Space Models for Time Series Forecasting NeurIPS 2018 Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure NSDI 2018 Deformation Aware Image Compression CVPR 2018 Delayed Impact of Fair Machine Learning ICML 2018 Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs AISTATS 2018 Demystifying MMD GANs ICLR 2018 Dendritic cortical microcircuits approximate the backpropagation algorithm NeurIPS 2018 Dense Information Flow for Neural Machine Translation NAACL 2018 Density Adaptive Point Set Registration CVPR 2018 Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction EMNLP 2018 Derivative Estimation in Random Design NeurIPS 2018 Descriptive Clustering: ILP and CP Formulations with Applications IJCAI 2018 Designing the Game to Play: Optimizing Payoff Structure in Security Games IJCAI 2018 Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches ICML 2018 Detecting and Correcting for Label Shift with Black Box Predictors ICML 2018 Detection limits in the high-dimensional spiked rectangular model COLT 2018