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Statistics
9485
papers in Statistics
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Methodology (Stats)
578 Papers
Applications
537 Papers
Machine Learning (Stats)
514 Papers
Statistical Computing
311 Papers
Statistical Theory
304 Papers
Other Statistics
61 Papers
TITLE
DATE
VIEWS
Bayesian Opponent Exploitation in Imperfect-Information Games
By Sam Ganzfried, Qingyun Sun · ArXiv: 1603.03491
2018-06-29
0
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
By James Townsend, Niklas Koep, Sebastian Weichwald · ArXiv: 1603.03236
2020-09-03
0
megaman: Manifold Learning with Millions of points
By James McQueen, Marina Meila, Jacob V · ArXiv: 1603.02763
2016-03-10
0
Pairwise Choice Markov Chains
By Stephen Ragain, Johan Ug, er · ArXiv: 1603.02740
2021-05-17
0
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models
By Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein · ArXiv: 1603.01913
2016-04-06
0
Hierarchical Decision Making In Electricity Grid Management
By Gal Dalal, Elad Gilboa, Shie Mannor · ArXiv: 1603.01840
2016-03-08
0
Reversible Markov chain estimation using convex-concave programming
By Benjamin Trendelkamp-Schroer, Hao Wu, Frank Noe · ArXiv: 1603.01640
2016-03-08
1
Integrated Sequence Tagging for Medieval Latin Using Deep Representation Learning
By Mike Kestemont, Jeroen De Gussem · ArXiv: 1603.01597
2023-06-22
0
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
By Xuezhe Ma, Eduard Hovy · ArXiv: 1603.01354
2016-05-31
0
Network modularity in the presence of covariates
By Beate Franke, Patrick J. Wolfe · ArXiv: 1603.01214
2016-03-04
0
Training Input-Output Recurrent Neural Networks through Spectral Methods
By Hanie Sedghi, Anima An, kumar · ArXiv: 1603.00954
2016-11-01
0
Character-based Neural Machine Translation
By Marta R. Costa-Juss`a, Jose A. R. Fonollosa · ArXiv: 1603.00810
2016-07-01
0
Automatic Differentiation Variational Inference
By Alp Kucukelbir, Dustin Tran, Rajesh Ranganath · ArXiv: 1603.00788
2016-03-03
0
Mandelbrots 1/f fractional renewal models of 1963-67: The non-ergodic missing link between change points and long range dependence
By Nicholas Wynn Watkins · ArXiv: 1603.00738
2017-09-27
0
On the capacity of information processing systems
By Laurent Massoulie, Kuang Xu · ArXiv: 1603.00544
2016-05-31
1
Noisy Activation Functions
By Caglar Gulcehre, Marcin Moczulski, Misha Denil · ArXiv: 1603.00391
2016-04-05
0
RWebData: A High-Level Interface to the Programmable Web
By Ulrich Matter · ArXiv: 1603.00293
2016-07-20
0
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach
By Saurav Ghosh, Prithwish Chakraborty, Emily Cohn · ArXiv: 1603.00106
2016-06-07
0
Modeling the Infectiousness of Twitter Hashtags
By Jonathan Skaza, Brian Blais · ArXiv: 1603.00074
2016-09-21
0
Easy Monotonic Policy Iteration
By Joshua Achiam · ArXiv: 1602.09118
2016-03-01
0
Investigating practical linear temporal difference learning
By Adam White, Martha White · ArXiv: 1602.08771
2016-04-01
0
Resource Constrained Structured Prediction
By Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang · ArXiv: 1602.08761
2016-06-09
0
Finding a Large Submatrix of a Gaussian Random Matrix
By David Gamarnik, Quan Li · ArXiv: 1602.08529
2016-03-01
0
On short-term traffic flow forecasting and its reliability
By Hassane Aboua"issa, Michel Fliess, Cedric Join · ArXiv: 1602.08355
2016-02-29
0
Meta-learning within Projective Simulation
By Adi Makmal, Alexey A. Melnikov, Vedran Dunjko · ArXiv: 1602.08017
2016-05-31
0
Practical Riemannian Neural Networks
By Gaetan Marceau-Caron, Yann Ollivier · ArXiv: 1602.08007
2016-02-26
0
Thompson Sampling is Asymptotically Optimal in General Environments
By Jan Leike, Tor Lattimore, Laurent Orseau · ArXiv: 1602.07905
2016-06-06
0
Probably Approximately Correct Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection
By Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek · ArXiv: 1602.07860
2020-08-11
0
A Bayesian baseline for belief in uncommon events
By V. Palonen · ArXiv: 1602.07836
2016-03-01
0
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection
By Michael Bloodgood, Benjamin Strauss · ArXiv: 1602.07807
2016-04-12
0
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