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Statistics
9562
papers in Statistics
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Methodology (Stats)
578 Papers
Applications
537 Papers
Machine Learning (Stats)
514 Papers
Statistical Computing
311 Papers
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304 Papers
Other Statistics
61 Papers
TITLE
DATE
VIEWS
Column Networks for Collective Classification
By Trang Pham, Truyen Tran, Dinh Phung · ArXiv: 1609.04508
2016-11-30
0
Sampling Generative Networks
By Tom White · ArXiv: 1609.04468
2016-12-07
1
Bayesian Reinforcement Learning: A Survey
By Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau · ArXiv: 1609.04436
2016-09-16
0
PSI ({Psi}): a Private data Sharing Interface
By Marco Gaboardi, James Honaker, Gary King · ArXiv: 1609.04340
2018-08-07
0
Private Topic Modeling
By Mijung Park, James Foulds, Kamalika Chaudhuri · ArXiv: 1609.04120
2018-12-05
0
Network learning via multi-agent inverse transportation problems
By Susan Jia Xu, Mehdi Nourinejad, Xuebo Lai · ArXiv: 1609.04117
2020-08-14
1
A Machine Learning Nowcasting Method based on Real-time Reanalysis Data
By Lei Han, Juanzhen Sun, Wei Zhang · ArXiv: 1609.04103
2019-11-01
0
Scalable Algorithms for Generating and Analyzing Structural Brain Networks with a Varying Number of Nodes
By Yu Jin, Joseph F. JaJa, Rong Chen · ArXiv: 1609.03893
2016-09-14
0
Basic models and questions in statistical network analysis
By Miklos Z. Racz, Sebastien Bubeck · ArXiv: 1609.03511
2016-09-13
0
Stealing Machine Learning Models via Prediction APIs
By Florian Tram`er, Fan Zhang, Ari Juels · ArXiv: 1609.02943
2016-10-04
0
Extract fetal ECG from single-lead abdominal ECG by de-shape short time Fourier transform and nonlocal median
By Su Li, Hau-tieng Wu · ArXiv: 1609.02938
2016-09-13
0
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
By Shahin Shahrampour, Ali Jadbabaie · ArXiv: 1609.02845
2016-09-12
0
Validating induced seismicity forecast models - Induced Seismicity Test Bench
By Eszter Kiraly-Proag, J. Douglas Zechar, Valentin Gischig · ArXiv: 1609.02793
2016-09-12
0
Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?
By Wei Fu, Vivek Nair, Tim Menzies · ArXiv: 1609.02613
2017-03-13
0
Information and dimensionality of anisotropic random geometric graphs
By Ronen Eldan, Dan Mikulincer · ArXiv: 1609.02490
2020-02-25
0
Non-Backtracking Spectrum of Degree-Corrected Stochastic Block Models
By Lennart Gulikers, Marc Lelarge, Laurent Massoulie · ArXiv: 1609.02487
2017-05-19
0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
By Trapit Bansal, David Belanger, Andrew McCallum · ArXiv: 1609.02116
2016-09-12
0
The Waves and the Sigmas (To Say Nothing of the 750 GeV Mirage)
By Giulio DAgostini · ArXiv: 1609.01668
2018-02-12
0
Accelerating More Secure RC4 : Implementation of Seven FPGA Designs in Stages upto 8 byte per clock
By Rourab Paul, Hemanta Dey, Amlan Chakrabarti · ArXiv: 1609.01389
2016-09-21
0
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding
By Mohammad Javad Shafiee, Alex, er Wong · ArXiv: 1609.01360
2016-11-23
0
Distribution-Specific Hardness of Learning Neural Networks
By Ohad Shamir · ArXiv: 1609.01037
2017-03-13
0
High Dimensional Human Guided Machine Learning
By Eric Holloway, Robert Marks II · ArXiv: 1609.00904
2016-09-06
0
Peacock Bundles: Bundle Coloring for Graphs with Globality-Locality Trade-off
By Jaakko Peltonen, Ziyuan Lin · ArXiv: 1609.00719
2016-09-06
0
Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level
By Rie Johnson, Tong Zhang · ArXiv: 1609.00718
2016-09-05
0
Generalized Spatial and Spatiotemporal Autoregressive Conditional Heteroscedasticity
By Philipp Otto, Wolfgang Schmid, Robert Garthoff · ArXiv: 1609.00711
2020-10-20
0
Ensemble Learned Vaccination Uptake Prediction using Web Search Queries
By Niels Dalum Hansen, Christina Lioma, K{aa}re M{o}lbak · ArXiv: 1609.00689
2016-10-02
1
SynsetRank: Degree-adjusted Random Walk for Relation Identification
By Shinichi Nakajima, Sebastian Krause, Dirk Weissenborn · ArXiv: 1609.00626
2016-09-19
0
Publication bias and the canonization of false facts
By Silas B. Nissen, Tali Magidson, Kevin Gross · ArXiv: 1609.00494
2020-01-29
0
A deep learning model for estimating story points
By Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran · ArXiv: 1609.00489
2016-09-07
0
Neural Coarse-Graining: Extracting slowly-varying latent degrees of freedom with neural networks
By Nicholas Guttenberg, Martin Biehl, Ryota Kanai · ArXiv: 1609.00116
2016-12-15
0
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