Statistics

Authors and titles for March 2020

[801] arXiv:2003.03671 (cross-list from cs.LG) [pdf, other]

Title: Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels

Fatih Ilhan, Suleyman Serdar Kozat

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

[802] arXiv:2003.03672 (cross-list from physics.comp-ph) [pdf, other]

Title: Machine learning based non-Newtonian fluid model with molecular fidelity

Huan Lei, Lei Wu, Weinan E

Journal-ref: Phys. Rev. E 102, 043309 (2020)

Subjects: Computational Physics (physics.comp-ph); Numerical Analysis (math.NA); Fluid Dynamics (physics.flu-dyn); Machine Learning (stat.ML)

[803] arXiv:2003.03675 (cross-list from cs.CR) [pdf, other]

Title: Dynamic Backdoor Attacks Against Machine Learning Models

Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang

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

[804] arXiv:2003.03686 (cross-list from physics.soc-ph) [pdf, other]

Title: Flight restrictions from China during the COVID-2019 Coronavirus outbreak

Stefano Maria Iacus, Fabrizio Natale, Michele Vespe

Subjects: Physics and Society (physics.soc-ph); Other Statistics (stat.OT)

[805] arXiv:2003.03687 (cross-list from cs.LG) [pdf, other]

Title: Some Geometrical and Topological Properties of DNNs' Decision Boundaries

Bo Liu, Mengya Shen

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

[806] arXiv:2003.03689 (cross-list from cs.LG) [pdf, other]

Title: Inverse Feature Learning: Feature learning based on Representation Learning of Error

Behzad Ghazanfari, Fatemeh Afghah, MohammadTaghi Hajiaghayi

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

[807] arXiv:2003.03692 (cross-list from cs.LG) [pdf, other]

Title: Isolation Mondrian Forest for Batch and Online Anomaly Detection

Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley

Comments: Accepted for presentation at the IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2020. The first three authors contributed equally to this work

Journal-ref: IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3051-3058, 2020

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

[808] arXiv:2003.03695 (cross-list from cs.LG) [pdf, other]

Title: Progressive Growing of Neural ODEs

Hammad A. Ayyubi, Yi Yao, Ajay Divakaran

Journal-ref: ICLR Workshop on Neural Networks and Differential Equations, 2020

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

[809] arXiv:2003.03697 (cross-list from cs.DC) [pdf, other]

Title: FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing

Feng Yin, Zhidi Lin, Yue Xu, Qinglei Kong, Deshi Li, Sergios Theodoridis, Shuguang (Robert)Cui

Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG); Signal Processing (eess.SP); Systems and Control (eess.SY); Applications (stat.AP)

[810] arXiv:2003.03699 (cross-list from cs.LG) [pdf, other]

Title: Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy

Depeng Xu, Wei Du, Xintao Wu

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

[811] arXiv:2003.03709 (cross-list from cs.LG) [pdf, other]

Title: Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate

Yufeng Zhang, Qi Cai, Zhuoran Yang, Zhaoran Wang

Comments: 42 pages; accepted to ICML; initial draft submitted in Feb, 2020

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

[812] arXiv:2003.03722 (cross-list from cs.LG) [pdf, other]

Title: On the Robustness of Cooperative Multi-Agent Reinforcement Learning

Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang, Alberto Leon-Garcia, Nicolas Papernot

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

[813] arXiv:2003.03777 (cross-list from cs.LG) [pdf, other]

Title: Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks

Fernando Gama, Elvin Isufi, Geert Leus, Alejandro Ribeiro

Comments: Submitted to IEEE SPM Special Issue on Graph Signal Processing: Foundations and Emerging Directions

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Machine Learning (stat.ML)

[814] arXiv:2003.03778 (cross-list from cs.LG) [pdf, other]

Title: Adversarial Attacks on Probabilistic Autoregressive Forecasting Models

Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin Vechev

Comments: 15 pages, 6 figures

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

[815] arXiv:2003.03813 (cross-list from cs.CL) [pdf, other]

Title: Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences

Petar Milin, Harish Tayyar Madabushi, Michael Croucher, Dagmar Divjak

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

[816] arXiv:2003.03814 (cross-list from cs.CE) [pdf, other]

Title: Enhancing Industrial X-ray Tomography by Data-Centric Statistical Methods

Jarkko Suuronen, Muhammad Emzir, Sari Lasanen, Simo Särkkä, Lassi Roininen

Subjects: Computational Engineering, Finance, and Science (cs.CE); Image and Video Processing (eess.IV); Methodology (stat.ME)

[817] arXiv:2003.03828 (cross-list from cs.LG) [pdf, other]

Title: $\Pi-$nets: Deep Polynomial Neural Networks

Grigorios G. Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Yannis Panagakis, Jiankang Deng, Stefanos Zafeiriou

Comments: Accepted in CVPR 2020

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

[818] arXiv:2003.03835 (cross-list from cs.LG) [pdf, other]

Title: Multivariate Boosted Trees and Applications to Forecasting and Control

Lorenzo Nespoli, Vasco Medici

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

[819] arXiv:2003.03857 (cross-list from math.PR) [pdf, other]

Title: Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations

Johannes Heiny, Jianfeng Yao

Comments: 32 pages, 8 figures

Subjects: Probability (math.PR); Statistics Theory (math.ST)

[820] arXiv:2003.03862 (cross-list from cs.LG) [pdf, other]

Title: Improving Training on Noisy Stuctured Labels

Abubakar Abid, James Zou

Comments: 8 pages main text, 13 pages total

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

[821] arXiv:2003.03863 (cross-list from math.PR) [pdf, other]

Title: The rencontre problem

F. Thomas Bruss, Philip A. Ernst, Dongzhou Huang

Comments: 40 pages, 1 table

Subjects: Probability (math.PR); Statistics Theory (math.ST)

[822] arXiv:2003.03882 (cross-list from cs.LG) [pdf, other]

Title: Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS

Yong Liu, Lizhong Ding, Weiping Wang

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

[823] arXiv:2003.03888 (cross-list from cs.LG) [pdf, other]

Title: Nearly Optimal Clustering Risk Bounds for Kernel K-Means

Yong Liu, Lizhong Ding, Weiping Wang

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

[824] arXiv:2003.03892 (cross-list from cs.LG) [pdf, other]

Title: COPT: Coordinated Optimal Transport for Graph Sketching

Yihe Dong, Will Sawin

Journal-ref: Neural Information Processing Systems (NeurIPS) 2020

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

[825] arXiv:2003.03893 (cross-list from cs.LG) [pdf, other]

Title: A working likelihood approach to support vector regression with a data-driven insensitivity parameter

Jinran Wu, You-Gan Wang

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

[826] arXiv:2003.03900 (cross-list from cs.LG) [pdf, other]

Title: FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis

Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John Duchi, Russ Tedrake

Comments: ICML 2020: this https URL

Subjects: Machine Learning (cs.LG); Multiagent Systems (cs.MA); Robotics (cs.RO); Machine Learning (stat.ML)

[827] arXiv:2003.03915 (cross-list from math.NA) [pdf, other]

Title: Toeplitz Monte Carlo

Josef Dick, Takashi Goda, Hiroya Murata

Journal-ref: Statistics and Computing, Volume 31, Article number 1, 2021

Subjects: Numerical Analysis (math.NA); Methodology (stat.ME)

[828] arXiv:2003.03919 (cross-list from cs.LG) [pdf, other]

Title: Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution

Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren

Comments: In Proceedings of IJCAI 2020. Code can be found at this https URL . The sole copyright holder is IJCAI (International Joint Conferences on Artificial Intelligence), all rights reserved. Original Publication available at this https URL

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

[829] arXiv:2003.03924 (cross-list from cs.LG) [pdf, other]

Title: Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison

Tengyang Xie, Nan Jiang

Comments: Published in UAI 2020

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

[830] arXiv:2003.03934 (cross-list from cs.LG) [pdf, other]

Title: Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation

Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu

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

[831] arXiv:2003.03946 (cross-list from cs.LG) [pdf, other]

Title: Robust Learning from Discriminative Feature Feedback

Sanjoy Dasgupta, Sivan Sabato

Comments: To appear in AISTATS 2020

Journal-ref: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics (AISTATS), 973--982, 2020

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

[832] arXiv:2003.03960 (cross-list from cs.LG) [pdf, other]

Title: Metric Learning for Ordered Labeled Trees with pq-grams

Hikaru Shindo, Masaaki Nishino, Yasuaki Kobayashi, Akihiro Yamamoto

Comments: Accepted at ECAI 2020 (full paper)

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

[833] arXiv:2003.03977 (cross-list from cs.LG) [pdf, other]

Title: Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate Schedule

Nikhil Iyer, V Thejas, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu

Comments: 34 pages

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

[834] arXiv:2003.04033 (cross-list from cs.LG) [pdf, other]

Title: Making Method of Moments Great Again? -- How can GANs learn distributions

Yuanzhi Li, Zehao Dou

Comments: 50+ pages

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

[835] arXiv:2003.04046 (cross-list from cs.LG) [pdf, other]

Title: Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning

Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard

Comments: Published as a conference paper at IROS 2020

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Machine Learning (stat.ML)

[836] arXiv:2003.04063 (cross-list from cs.LG) [pdf, other]

Title: Supervised Domain Adaptation using Graph Embedding

Lukas Hedegaard Morsing, Omar Ali Sheikh-Omar, Alexandros Iosifidis

Comments: 7 pages, 3 figures, 3 tables

Journal-ref: 2020 25th International Conference on Pattern Recognition (ICPR)

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

[837] arXiv:2003.04069 (cross-list from cs.LG) [pdf, other]

Title: Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces

Ahmed Touati, Adrien Ali Taiga, Marc G. Bellemare

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

[838] arXiv:2003.04078 (cross-list from cs.LG) [pdf, other]

Title: A Survey on The Expressive Power of Graph Neural Networks

Ryoma Sato

Comments: 42 pages

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

[839] arXiv:2003.04108 (cross-list from cs.LG) [pdf, other]

Title: Stable Policy Optimization via Off-Policy Divergence Regularization

Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent

Journal-ref: Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR volume 124, 2020

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

[840] arXiv:2003.04116 (cross-list from cs.CV) [pdf, other]

Title: Hazard Detection in Supermarkets using Deep Learning on the Edge

M. G. Sarwar Murshed, Edward Verenich, James J. Carroll, Nazar Khan, Faraz Hussain

Comments: 6 pages, conference

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV); Machine Learning (stat.ML)

[841] arXiv:2003.04117 (cross-list from cs.CV) [pdf, html, other]

Title: The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes

Rashik Shadman, M.G. Sarwar Murshed, Edward Verenich, Alvaro Velasquez, Faraz Hussain

Comments: 5 pages, 3 figure, conference

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

[842] arXiv:2003.04135 (cross-list from cs.LG) [pdf, other]

Title: Sets Clustering

Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman

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

[843] arXiv:2003.04166 (cross-list from cond-mat.stat-mech) [pdf, other]

Title: Learning entropy production via neural networks

Dong-Kyum Kim, Youngkyoung Bae, Sangyun Lee, Hawoong Jeong

Comments: 6+8 pages, 4+8 figures

Journal-ref: Phys. Rev. Lett. 125, 140604 (2020)

Subjects: Statistical Mechanics (cond-mat.stat-mech); Machine Learning (cs.LG); Machine Learning (stat.ML)

[844] arXiv:2003.04173 (cross-list from cs.LG) [pdf, other]

Title: Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world

Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev

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

[845] arXiv:2003.04180 (cross-list from cs.LG) [pdf, other]

Title: Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity

Pritish Kamath, Omar Montasser, Nathan Srebro

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

[846] arXiv:2003.04185 (cross-list from cs.CR) [pdf, other]

Title: Change Point Models for Real-time Cyber Attack Detection in Connected Vehicle Environment

Gurcan Comert, Mizanur Rahman, Mhafuzul Islam, Mashrur Chowdhury

Comments: 11 pages, 4 figures, submitted to IEEE Transactions on Intelligent Transportation Systems. arXiv admin note: substantial text overlap with arXiv:1811.12620

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG); Signal Processing (eess.SP); Applications (stat.AP)

[847] arXiv:2003.04203 (cross-list from cs.LG) [pdf, other]

Title: Human AI interaction loop training: New approach for interactive reinforcement learning

Neda Navidi

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

[848] arXiv:2003.04216 (cross-list from eess.SP) [pdf, other]

Title: Decentralized SGD with Over-the-Air Computation

Emre Ozfatura, Stefano Rini, Deniz Gunduz

Subjects: Signal Processing (eess.SP); Distributed, Parallel, and Cluster Computing (cs.DC); Information Theory (cs.IT); Machine Learning (cs.LG); Machine Learning (stat.ML)

[849] arXiv:2003.04218 (cross-list from cs.LO) [pdf, other]

Title: Teaching Temporal Logics to Neural Networks

Christopher Hahn, Frederik Schmitt, Jens U. Kreber, Markus N. Rabe, Bernd Finkbeiner

Subjects: Logic in Computer Science (cs.LO); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Machine Learning (stat.ML)

[850] arXiv:2003.04241 (cross-list from eess.AS) [pdf, other]

Title: Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data

Vincent Roger, Jérôme Farinas, Julien Pinquier

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