Statistics

Authors and titles for April 2019

[701] arXiv:1904.04956 (cross-list from cs.SD) [pdf, other]

Title: Distributed Deep Learning Strategies For Automatic Speech Recognition

Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David Kung, Michael Picheny

Comments: Published in ICASSP'19

Subjects: Sound (cs.SD); Computation and Language (cs.CL); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS); Machine Learning (stat.ML)

[702] arXiv:1904.04973 (cross-list from q-fin.PM) [pdf, other]

Title: Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey

Yoshiharu Sato

Subjects: Portfolio Management (q-fin.PM); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Machine Learning (stat.ML)

[703] arXiv:1904.04990 (cross-list from cs.LG) [pdf, other]

Title: Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks

Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[704] arXiv:1904.04994 (cross-list from cs.LG) [pdf, other]

Title: Discovering patterns of online popularity from time series

Mert Ozer, Anna Sapienza, Andrés Abeliuk, Goran Muric, Emilio Ferrara

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI); Machine Learning (stat.ML)

[705] arXiv:1904.05052 (cross-list from q-bio.QM) [pdf, other]

Title: Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models

Carlos Fernandez-Lozano, Ruben F. Cuinas, Jose A. Seoane, Enrique Fernandez-Blanco, Julian Dorado, Cristian R. Munteanu

Comments: 19 pages, 6 figures, 3 tables

Journal-ref: Journal of theoretical biology 384 (2015): 50-58

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG); Machine Learning (stat.ML)

[706] arXiv:1904.05098 (cross-list from cs.LG) [pdf, other]

Title: Multitask Hopfield Networks

Marco Frasca, Giuliano Grossi, Giorgio Valentini

Comments: 16 pages, 1 figures

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)

[707] arXiv:1904.05100 (cross-list from cs.LG) [pdf, other]

Title: Knowledge Squeezed Adversarial Network Compression

Shu Changyong, Li Peng, Xie Yuan, Qu Yanyun, Dai Longquan, Ma Lizhuang

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[708] arXiv:1904.05146 (cross-list from cs.LG) [pdf, other]

Title: DeepSphere: towards an equivariant graph-based spherical CNN

Michaël Defferrard, Nathanaël Perraudin, Tomasz Kacprzak, Raphael Sgier

Comments: published at the ICLR 2019 Workshop on Representation Learning on Graphs and Manifolds. arXiv admin note: text overlap with arXiv:1810.12186

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[709] arXiv:1904.05181 (cross-list from cs.LG) [pdf, other]

Title: Black-box Adversarial Attacks on Video Recognition Models

Linxi Jiang, Xingjun Ma, Shaoxiang Chen, James Bailey, Yu-Gang Jiang

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Computer Vision and Pattern Recognition (cs.CV); Multimedia (cs.MM); Machine Learning (stat.ML)

[710] arXiv:1904.05209 (cross-list from econ.EM) [pdf, other]

Title: Local Polynomial Estimation of Time-Varying Parameters in Nonlinear Models

Dennis Kristensen, Young Jun Lee

Subjects: Econometrics (econ.EM); Statistics Theory (math.ST)

[711] arXiv:1904.05232 (cross-list from econ.EM) [pdf, other]

Title: Solving Dynamic Discrete Choice Models Using Smoothing and Sieve Methods

Dennis Kristensen, Patrick K. Mogensen, Jong Myun Moon, Bertel Schjerning

Subjects: Econometrics (econ.EM); Statistics Theory (math.ST)

[712] arXiv:1904.05233 (cross-list from cs.LG) [pdf, other]

Title: What's in a Name? Reducing Bias in Bios without Access to Protected Attributes

Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai

Comments: Accepted at NAACL 2019; Best Thematic Paper

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)

[713] arXiv:1904.05263 (cross-list from cs.LG) [pdf, other]

Title: Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections

Weinan E, Chao Ma, Qingcan Wang, Lei Wu

Comments: 29 pages, 4 figures

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[714] arXiv:1904.05305 (cross-list from cs.SI) [pdf, other]

Title: A Classification Algorithm to Recognize Fake News Websites

Davide Bennato, Giuseppe Pernagallo, Benedetto Torrisi

Comments: 11 pages, 3 figures, 4 tables

Journal-ref: International Conference on Data Science and Social Research, 2020

Subjects: Social and Information Networks (cs.SI); Computers and Society (cs.CY); Applications (stat.AP)

[715] arXiv:1904.05310 (cross-list from math.NA) [pdf, other]

Title: Joint state-parameter estimation of a nonlinear stochastic energy balance model from sparse noisy data

Fei Lu, Nils Weitzel, Adam H. Monahan

Journal-ref: Nonlin. Processes Geophys. 26, 2019

Subjects: Numerical Analysis (math.NA); Computation (stat.CO)

[716] arXiv:1904.05312 (cross-list from q-fin.ST) [pdf, other]

Title: Bayesian prediction of jumps in large panels of time series data

Angelos Alexopoulos, Petros Dellaportas, Omiros Papaspiliopoulos

Comments: 49 pages, 27 figures, 4 tables

Subjects: Statistical Finance (q-fin.ST); Applications (stat.AP); Computation (stat.CO)

[717] arXiv:1904.05325 (cross-list from cs.SI) [pdf, other]

Title: Risk Aware Ranking for Top-$k$ Recommendations

Shameem A Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla

Subjects: Social and Information Networks (cs.SI); Machine Learning (cs.LG); Machine Learning (stat.ML)

[718] arXiv:1904.05327 (cross-list from cs.SI) [pdf, html, other]

Title: Endogenous Coalition Formation in Policy Debates

Philip Leifeld, Laurence Brandenberger

Subjects: Social and Information Networks (cs.SI); Applications (stat.AP)

[719] arXiv:1904.05329 (cross-list from cs.SI) [pdf, other]

Title: GraSPy: Graph Statistics in Python

Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan K. Varjavand, Hayden S. Helm, Joshua T. Vogelstein

Journal-ref: Journal of Machine Learning Research 20.158 (2019): 1-7

Subjects: Social and Information Networks (cs.SI); Machine Learning (stat.ML); Other Statistics (stat.OT)

[720] arXiv:1904.05330 (cross-list from cs.SI) [pdf, other]

Title: Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks

Arash A. Amini, Marina S. Paez, Lizhen Lin

Comments: 27 pages, 11 figures

Subjects: Social and Information Networks (cs.SI); Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)

[721] arXiv:1904.05332 (cross-list from cs.SI) [pdf, other]

Title: Community detection over a heterogeneous population of non-aligned networks

Guilherme Gomes, Vinayak Rao, Jennifer Neville

Subjects: Social and Information Networks (cs.SI); Machine Learning (cs.LG); Machine Learning (stat.ML)

[722] arXiv:1904.05333 (cross-list from cs.SI) [pdf, other]

Title: Bayesian estimation of the latent dimension and communities in stochastic blockmodels

Francesco Sanna Passino, Nicholas A. Heard

Journal-ref: Statistics and Computing 30(5), 1291-1307 (2020)

Subjects: Social and Information Networks (cs.SI); Machine Learning (cs.LG); Applications (stat.AP); Machine Learning (stat.ML)

[723] arXiv:1904.05334 (cross-list from cs.SI) [pdf, other]

Title: Nine Quick Tips for Analyzing Network Data

Stephane Robin (MIA-Paris), Vincent Miele (LBBE), Catherine Matias (LPSM UMR 8001), Stéphane Dray (LBBE)

Subjects: Social and Information Networks (cs.SI); Physics and Society (physics.soc-ph); Methodology (stat.ME)

[724] arXiv:1904.05335 (cross-list from cs.SI) [pdf, other]

Title: Adapting Stochastic Block Models to Power-Law Degree Distributions

Maoying Qiao, Jun Yu, Wei Bian, Qiang Li, Dacheng Tao

Comments: 13 pages, 13 figures

Journal-ref: IEEE Transactions on Cybernetics, 49 (2019) 626-637

Subjects: Social and Information Networks (cs.SI); Machine Learning (cs.LG); Machine Learning (stat.ML)

[725] arXiv:1904.05351 (cross-list from eess.AS) [pdf, other]

Title: RawNet: Fast End-to-End Neural Vocoder

Yunchao He, Yujun Wang

Subjects: Audio and Speech Processing (eess.AS); Machine Learning (cs.LG); Sound (cs.SD); Machine Learning (stat.ML)

[726] arXiv:1904.05375 (cross-list from q-bio.QM) [pdf, other]

Title: Scanner Invariant Representations for Diffusion MRI Harmonization

Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG); Image and Video Processing (eess.IV); Applications (stat.AP); Machine Learning (stat.ML)

[727] arXiv:1904.05381 (cross-list from cs.LG) [pdf, other]

Title: ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning

Xudong Sun, Jiali Lin, Bernd Bischl

Journal-ref: ECML PKDD 2019: Machine Learning and Knowledge Discovery in Databases pp 68-84

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[728] arXiv:1904.05391 (cross-list from cs.LG) [pdf, other]

Title: Deep Learning without Weight Transport

Mohamed Akrout, Collin Wilson, Peter C. Humphreys, Timothy Lillicrap, Douglas Tweed

Comments: Accepted for the Conference on Neural Information Processing Systems (NeurIPS) 2019

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[729] arXiv:1904.05394 (cross-list from cs.LG) [pdf, other]

Title: Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization

Nina Schaaf, Marco F. Huber, Johannes Maucher

Comments: 8 pages, 18th IEEE International Conference on Machine Learning and Applications (ICMLA) 2019

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[730] arXiv:1904.05411 (cross-list from cs.LG) [pdf, other]

Title: Deep Learning for System Trace Restoration

Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister

Comments: Pre-print (accepted to IJCNN 2019)

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[731] arXiv:1904.05417 (cross-list from cs.LG) [pdf, other]

Title: Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems

Leah Bar, Nir Sochen

Comments: 15 pages, 11 figures

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[732] arXiv:1904.05419 (cross-list from cs.LG) [pdf, other]

Title: FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning

Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau

Comments: Accepted as a VAST conference paper to IEEE VIS'19

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[733] arXiv:1904.05453 (cross-list from cs.LG) [pdf, other]

Title: Energy-Based Continuous Inverse Optimal Control

Yifei Xu, Jianwen Xie, Tianyang Zhao, Chris Baker, Yibiao Zhao, Ying Nian Wu

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[734] arXiv:1904.05488 (cross-list from cs.LG) [pdf, other]

Title: Deep Neural Network Ensembles

Sean Tao

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[735] arXiv:1904.05506 (cross-list from cs.LG) [pdf, other]

Title: Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?

Sorami Hisamoto, Matt Post, Kevin Duh

Journal-ref: Tansactions of the Association for Computational Linguistics (TACL) Volume 8, 2020 p.49-63

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)

[736] arXiv:1904.05510 (cross-list from cs.LG) [pdf, other]

Title: Restricted Isometry Property under High Correlations

Shiva Prasad Kasiviswanathan, Mark Rudelson

Comments: 30 pages, fixed minor typos

Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)

[737] arXiv:1904.05514 (cross-list from cs.LG) [pdf, other]

Title: Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach

Proteek Chandan Roy, Vishnu Naresh Boddeti

Comments: Accepted for oral presentation at CVPR 2019

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[738] arXiv:1904.05530 (cross-list from cs.LG) [pdf, other]

Title: Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren

Comments: 15 pages, 8 figures, accepted at as full paper in EMNLP 2020

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (stat.ML)

[739] arXiv:1904.05576 (cross-list from cs.SD) [pdf, other]

Title: STC Antispoofing Systems for the ASVspoof2019 Challenge

Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren, Marina Volkova, Artem Gorlanov, Alexandr Kozlov

Comments: Submitted to Interspeech 2019, Graz, Austria

Subjects: Sound (cs.SD); Computation and Language (cs.CL); Cryptography and Security (cs.CR); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS); Machine Learning (stat.ML)

[740] arXiv:1904.05584 (cross-list from cs.CL) [pdf, other]

Title: Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study

Jorge A. Balazs, Yutaka Matsuo

Comments: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop

Subjects: Computation and Language (cs.CL); Machine Learning (stat.ML)

[741] arXiv:1904.05633 (cross-list from cs.LG) [pdf, other]

Title: Modified online Newton step based on element wise multiplication

Charanjeet, Anuj Sharma

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[742] arXiv:1904.05658 (cross-list from cs.LG) [pdf, other]

Title: MxML: Mixture of Meta-Learners for Few-Shot Classification

Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi

Comments: 12 pages

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[743] arXiv:1904.05735 (cross-list from cs.CR) [pdf, other]

Title: Machine Learning in IoT Security: Current Solutions and Future Challenges

Fatima Hussain, Rasheed Hussain, Syed Ali Hassan, Ekram Hossain

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG); Machine Learning (stat.ML)

[744] arXiv:1904.05738 (cross-list from cs.CR) [pdf, other]

Title: TG-PSM: Tunable Greedy Packet Sequence Morphing Based on Trace Clustering

Farzam Fanitabasi

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG); Machine Learning (stat.ML)

[745] arXiv:1904.05742 (cross-list from cs.LG) [pdf, other]

Title: One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization

Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee

Comments: Interspeech 2019

Subjects: Machine Learning (cs.LG); Sound (cs.SD); Audio and Speech Processing (eess.AS); Machine Learning (stat.ML)

[746] arXiv:1904.05746 (cross-list from cs.LG) [pdf, other]

Title: SPEAK YOUR MIND! Towards Imagined Speech Recognition With Hierarchical Deep Learning

Pramit Saha, Muhammad Abdul-Mageed, Sidney Fels

Comments: Under review in INTERSPEECH 2019. arXiv admin note: text overlap with arXiv:1904.04358

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Sound (cs.SD); Audio and Speech Processing (eess.AS); Machine Learning (stat.ML)

[747] arXiv:1904.05747 (cross-list from cs.CR) [pdf, other]

Title: Malware Evasion Attack and Defense

Yonghong Huang, Utkarsh Verma, Celeste Fralick, Gabriel Infante-Lopez, Brajesh Kumarz, Carl Woodward

Comments: Accepted by IEEE DSN-DSML2019

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG); Machine Learning (stat.ML)

[748] arXiv:1904.05760 (cross-list from cs.LG) [pdf, other]

Title: Scalarizing Functions in Bayesian Multiobjective Optimization

Tinkle Chugh

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)

[749] arXiv:1904.05773 (cross-list from eess.IV) [pdf, other]

Title: Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks

Kamran Kowsari, Rasoul Sali, Marium N. Khan, William Adorno, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown

Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)

[750] arXiv:1904.05780 (cross-list from cs.CL) [pdf, other]

Title: Corpora Generation for Grammatical Error Correction

Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong

Comments: Accepted at NAACL 2019. arXiv admin note: text overlap with arXiv:1811.01710

Subjects: Computation and Language (cs.CL); Machine Learning (stat.ML)