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9631 papers in Statistics
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TITLE
DATE
VIEWS
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories
By Yu Zhang, Frank F. Xu, Sha Li · ArXiv: 1910.07115
2023-10-24
1
Data-Driven Deep Learning of Partial Differential Equations in Modal Space
By Kailiang Wu, Dongbin Xiu · ArXiv: 1910.06948
2020-05-05
1
A greedy anytime algorithm for sparse PCA
By Guy Holtzman, Adam Soffer, Dan Vilenchik · ArXiv: 1910.06846
2020-02-13
0
Adaptive template systems: Data-driven feature selection for learning with persistence diagrams
By Luis Polanco, Jose A. Perea · ArXiv: 1910.06741
2019-10-16
0
GeoSES -- um Indice Socioecon^omico para Estudos de Saude no Brasil
By Ligia Vizeu Barrozo, Michel Fornaciali, Carmen Diva Saldiva de
Andre · ArXiv: 1910.06155
2019-10-15
0
Emergent properties of the local geometry of neural loss landscapes
By Stanislav Fort, Surya Ganguli · ArXiv: 1910.05929
2019-10-15
1
On the Utility of Learning about Humans for Human-AI Coordination
By Micah Carroll, Rohin Shah, Mark K. Ho · ArXiv: 1910.05789
2020-01-10
2
AffWild Net and Aff-Wild Database
By Alvertos Benroumpi, Dimitrios Kollias · ArXiv: 1910.05376
2019-12-17
0
A Test for Shared Patterns in Cross-modal Brain Activation Analysis
By Elena Kalinina, Fabian Pedregosa, Vittorio Iacovella · ArXiv: 1910.05271
2019-10-14
0
Strongly Convex Optimization for Joint Fractal Feature Estimation and Texture Segmentation
By Barbara Pascal, Nelly Pustelnik, Patrice Abry · ArXiv: 1910.05246
2021-04-19
0
Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses
By Asier Mujika, Felix Weissenberger, Angelika Steger · ArXiv: 1910.05245
2019-10-14
0
IdBench: Evaluating Semantic Representations of Identifier Names in Source Code
By Yaza Wainakh, Moiz Rauf, Michael Pradel · ArXiv: 1910.05177
2021-01-15
1
Verification of Neural Networks: Specifying Global Robustness using Generative Models
By Nathana"el Fijalkow, Mohit Kumar Gupta · ArXiv: 1910.05018
2019-10-14
0
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?
By Gege Zhang, Gangwei Li, Ningwei Shen · ArXiv: 1910.04970
2019-12-24
1
Rk-means: Fast Clustering for Relational Data
By Ryan Curtin, Ben Moseley, Hung Q. Ngo · ArXiv: 1910.04939
2019-10-14
0
Dealing with Stochasticity in Biological ODE Models
By Hamda Ajmal, Michael Madden, Catherine Enright · ArXiv: 1910.04909
2019-10-15
0
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing
By Jordan J. Bird, Aniko Ekart, Diego R. Faria · ArXiv: 1910.04701
2019-10-11
1
Learning to Remember from a Multi-Task Teacher
By Yuwen Xiong, Mengye Ren, Raquel Urtasun · ArXiv: 1910.04650
2020-02-14
0
Augmented Probability Simulation Methods for Sequential Games
By Tahir Ekin, Roi Naveiro, Alberto Torres-Barran · ArXiv: 1910.04574
2024-02-22
0
Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius
By Junjie Jiang, Ying-Cheng Lai · ArXiv: 1910.04426
2019-10-11
0
Sparse tree search optimality guarantees in POMDPs with continuous observation spaces
By Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg · ArXiv: 1910.04332
2023-06-06
2
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods
By Kevin J Liang, Guoyin Wang, Yitong Li · ArXiv: 1910.04233
2019-10-11
0
On the adequacy of untuned warmup for adaptive optimization
By Jerry Ma, Denis Yarats · ArXiv: 1910.04209
2021-03-23
0
Experimental investigation of vertical turbulent transport of a passive scalar in a boundary layer: statistics and visibility graph analysis
By Giovanni Iacobello, Massimo Marro, Luca Ridolfi · ArXiv: 1910.04118
2019-10-10
0
Continual Learning Using Bayesian Neural Networks
By HongLin Li, Payam Barnaghi, Shirin Enshaeifar · ArXiv: 1910.04112
2020-08-17
0
Forecast Aggregation via Peer Prediction
By Juntao Wang, Yang Liu, Yiling Chen · ArXiv: 1910.03779
2022-03-31
0
Computing the Expected Value of Sample Information Efficiently: Expertise and Skills Required for Four Model-Based Methods
By Natalia R. Kunst, Edward Wilson, Fern · ArXiv: 1910.03368
2019-10-10
0
Combining No-regret and Q-learning
By Ian A. Kash, Michael Sullins, Katja Hofmann · ArXiv: 1910.03094
2022-01-17
0
Stochastic Optimal Control as Approximate Input Inference
By Joe Watson, Hany Abdulsamad, Jan Peters · ArXiv: 1910.03003
2020-04-23
0