Statistics

Authors and titles for January 2021

[601] arXiv:2101.07773 (cross-list from cs.LG) [pdf, other]

Title: Learning over Families of Sets -- Hypergraph Representation Learning for Higher Order Tasks

Balasubramaniam Srinivasan, Da Zheng, George Karypis

Comments: Published as a conference paper at SIAM International Conference on Data Mining(SDM 2021)

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

[602] arXiv:2101.07833 (cross-list from cs.LG) [pdf, other]

Title: Implicit Bias of Linear RNNs

Melikasadat Emami, Mojtaba Sahraee-Ardakan, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher

Comments: 30 pages, 4 figures

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

[603] arXiv:2101.07860 (cross-list from math.PR) [pdf, other]

Title: Equivalence of measures and asymptotically optimal linear prediction for Gaussian random fields with fractional-order covariance operators

David Bolin, Kristin Kirchner

Comments: 47 pages, 3 figures

Journal-ref: Bernoulli 29 (2023) 1476-1504

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

[604] arXiv:2101.07981 (cross-list from cs.DS) [pdf, other]

Title: Inference under Information Constraints III: Local Privacy Constraints

Jayadev Acharya, Clément L. Canonne, Cody Freitag, Ziteng Sun, Himanshu Tyagi

Comments: To appear in the Special Issue on Privacy and Security of Information Systems of the IEEE Journal on Selected Areas in Information Theory (JSAIT), 2021. Journal version of the AISTATS'19 paper "Test without Trust: Optimal Locally Private Distribution Testing" (arXiv:1808.02174), which it extends and supersedes

Subjects: Data Structures and Algorithms (cs.DS); Cryptography and Security (cs.CR); Discrete Mathematics (cs.DM); Statistics Theory (math.ST)

[605] arXiv:2101.07997 (cross-list from eess.SY) [pdf, other]

Title: Data-driven sparse polynomial chaos expansion for models with dependent inputs

Zhanlin Liu, Youngjun Choe

Subjects: Systems and Control (eess.SY); Methodology (stat.ME); Machine Learning (stat.ML)

[606] arXiv:2101.08061 (cross-list from cs.LG) [pdf, other]

Title: A Similarity Measure of Gaussian Process Predictive Distributions

Lucia Asencio-Martín, Eduardo C. Garrido-Merchán

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

[607] arXiv:2101.08303 (cross-list from cs.LG) [pdf, other]

Title: From Local Pseudorandom Generators to Hardness of Learning

Amit Daniely, Gal Vardi

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

[608] arXiv:2101.08334 (cross-list from cs.SI) [pdf, other]

Title: Density-based clustering of social networks

Giovanna Menardi, Domenico De Stefano

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

[609] arXiv:2101.08345 (cross-list from cs.CV) [pdf, other]

Title: Nonparametric clustering for image segmentation

Giovanna Menardi

Journal-ref: Statistical Analysis and Data Mining, 13(1), 83-97 (2020)

Subjects: Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV); Applications (stat.AP)

[610] arXiv:2101.08354 (cross-list from quant-ph) [pdf, other]

Title: Enhancing Generative Models via Quantum Correlations

Xun Gao, Eric R. Anschuetz, Sheng-Tao Wang, J. Ignacio Cirac, Mikhail D. Lukin

Comments: 25 pages, 13 figures

Journal-ref: Phys. Rev. X 12, 021037 (2022)

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

[611] arXiv:2101.08452 (cross-list from cs.LG) [pdf, other]

Title: Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

Huan Zhang, Hongge Chen, Duane Boning, Cho-Jui Hsieh

Comments: Accepted by ICLR 2021. Huan Zhang and Hongge Chen contributed equally

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

[612] arXiv:2101.08490 (cross-list from cs.LG) [pdf, other]

Title: Estimating Average Treatment Effects via Orthogonal Regularization

Tobias Hatt, Stefan Feuerriegel

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

[613] arXiv:2101.08521 (cross-list from cs.LG) [pdf, other]

Title: Out-of-Distribution Generalization Analysis via Influence Function

Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li

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

[614] arXiv:2101.08539 (cross-list from cs.LG) [pdf, other]

Title: Orthogonal Least Squares Based Fast Feature Selection for Linear Classification

Sikai Zhang, Zi-Qiang Lang

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

[615] arXiv:2101.08576 (cross-list from cs.LG) [pdf, other]

Title: A Note on Connectivity of Sublevel Sets in Deep Learning

Quynh Nguyen

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

[616] arXiv:2101.08578 (cross-list from physics.data-an) [pdf, other]

Title: MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks

Joosep Pata, Javier Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu

Comments: 15 pages, 10 figures

Journal-ref: Eur. Phys. J. C (2021) 81: 381

Subjects: Data Analysis, Statistics and Probability (physics.data-an); Machine Learning (cs.LG); High Energy Physics - Experiment (hep-ex); Instrumentation and Detectors (physics.ins-det); Machine Learning (stat.ML)

[617] arXiv:2101.08598 (cross-list from math.PR) [pdf, other]

Title: A Topological Proof of Sklar's Theorem in Arbitrary Dimensions

Fred Espen Benth, Giulia Di Nunno, Dennis Schroers

Comments: 6 pages

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

[618] arXiv:2101.08656 (cross-list from cs.LG) [pdf, other]

Title: Dive into Decision Trees and Forests: A Theoretical Demonstration

Jinxiong Zhang

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

[619] arXiv:2101.08685 (cross-list from cs.LG) [pdf, other]

Title: ItNet: iterative neural networks with small graphs for accurate, efficient and anytime semantic segmentation

Thomas Pfeil

Comments: 11 pages, 8 figures

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

[620] arXiv:2101.08688 (cross-list from math.CA) [pdf, other]

Title: On $L^q$ Convergence of the Hamiltonian Monte Carlo

Soumyadip Ghosh, Yingdong Lu, Tomasz Nowicki

Subjects: Classical Analysis and ODEs (math.CA); Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Functional Analysis (math.FA); Machine Learning (stat.ML)

[621] arXiv:2101.08692 (cross-list from cs.LG) [pdf, other]

Title: Characterizing signal propagation to close the performance gap in unnormalized ResNets

Andrew Brock, Soham De, Samuel L. Smith

Comments: Published as a conference paper at ICLR 2021

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

[622] arXiv:2101.08696 (cross-list from cs.IT) [pdf, other]

Title: Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning

Naifu Zhang, Meixia Tao, Jia Wang

Comments: 6 pages, 2 figures

Subjects: Information Theory (cs.IT); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[623] arXiv:2101.08743 (cross-list from cs.LG) [pdf, other]

Title: A New Knowledge Gradient-based Method for Constrained Bayesian Optimization

Wenjie Chen, Shengcai Liu, Ke Tang

Comments: 14 pages, 0 figures

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

[624] arXiv:2101.08841 (cross-list from q-bio.QM) [pdf, other]

Title: Automating LC-MS/MS mass chromatogram quantification. Wavelet transform based peak detection and automated estimation of peak boundaries and signal-to-noise ratio using signal processing methods

Florian Rupprecht, Sören Enge, Kornelius Schmidt, Wei Gao, Clemens Kirschbaum, Robert Miller

Comments: 20 pages, 8 figures

Subjects: Quantitative Methods (q-bio.QM); Applications (stat.AP)

[625] arXiv:2101.08872 (cross-list from math.DS) [pdf, other]

Title: Fourier Series-Based Approximation of Time-Varying Parameters in Ordinary Differential Equations

Anna Fitzpatrick, Molly Folino, Andrea Arnold

Comments: 24 pages, 12 figures, 3 tables

Journal-ref: Inverse Problems 40 (2024) 035004

Subjects: Dynamical Systems (math.DS); Applications (stat.AP); Computation (stat.CO)

[626] arXiv:2101.09054 (cross-list from cs.LG) [pdf, other]

Title: Adversarial Laws of Large Numbers and Optimal Regret in Online Classification

Noga Alon, Omri Ben-Eliezer, Yuval Dagan, Shay Moran, Moni Naor, Eylon Yogev

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Data Structures and Algorithms (cs.DS); Statistics Theory (math.ST); Machine Learning (stat.ML)

[627] arXiv:2101.09147 (cross-list from cs.CC) [pdf, other]

Title: A superstatistical formulation of complexity measures

Jesús Fuentes, Octavio Obregón

Comments: 17 pages, 1 figure

Subjects: Computational Complexity (cs.CC); Mathematical Physics (math-ph); Applications (stat.AP)

[628] arXiv:2101.09351 (cross-list from physics.ao-ph) [pdf, other]

Title: Hourly evolution of intra-urban temperature variability across the local climate zones. The case of Madrid

Miguel Núñez-Peiró, Carmen Sanchez-Guevara Sanchez, F. Javier Neila Gonzalez

Comments: 7 figures, 8 tables, 1 appendix

Subjects: Atmospheric and Oceanic Physics (physics.ao-ph); Data Analysis, Statistics and Probability (physics.data-an); Applications (stat.AP)

[629] arXiv:2101.09352 (cross-list from q-bio.NC) [pdf, other]

Title: Conex-Connect: Learning Patterns in Extremal Brain Connectivity From Multi-Channel EEG Data

Matheus B. Guerrero, Raphaël Huser, Hernando Ombao

Subjects: Neurons and Cognition (q-bio.NC); Applications (stat.AP); Methodology (stat.ME)

[630] arXiv:2101.09382 (cross-list from math.OC) [pdf, other]

Title: A measure of the importance of roads based on topography and traffic intensity

Krzysztof J. Szajowski, Kinga Włodarczyk

Comments: 35 pages, 7 figures

Subjects: Optimization and Control (math.OC); Graphics (cs.GR); Statistics Theory (math.ST); Applications (stat.AP)

[631] arXiv:2101.09394 (cross-list from econ.EM) [pdf, other]

Title: Yield Spread Selection in Predicting Recession Probabilities: A Machine Learning Approach

Jaehyuk Choi, Desheng Ge, Kyu Ho Kang, Sungbin Sohn

Journal-ref: Journal of Forecasting, 42(7): 1772-1785, 2023

Subjects: Econometrics (econ.EM); Machine Learning (stat.ML)

[632] arXiv:2101.09395 (cross-list from q-fin.ST) [pdf, other]

Title: Unraveling S&P500 stock volatility and networks -- An encoding-and-decoding approach

Xiaodong Wang, Fushing Hsieh

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

[633] arXiv:2101.09398 (cross-list from econ.EM) [pdf, other]

Title: A Design-Based Perspective on Synthetic Control Methods

Lea Bottmer, Guido Imbens, Jann Spiess, Merrill Warnick

Subjects: Econometrics (econ.EM); Methodology (stat.ME)

[634] arXiv:2101.09436 (cross-list from cs.LG) [pdf, other]

Title: Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization

Xudong Sun, Florian Buettner

Comments: Presented at ICLR 2021 RobustML Workshop

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

[635] arXiv:2101.09438 (cross-list from cs.LG) [pdf, other]

Title: An Optimal Reduction of TV-Denoising to Adaptive Online Learning

Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang

Comments: To appear at AISTATS 2021

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

[636] arXiv:2101.09446 (cross-list from cs.LG) [pdf, other]

Title: Unlabeled Principal Component Analysis and Matrix Completion

Yunzhen Yao, Liangzu Peng, Manolis C. Tsakiris

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

[637] arXiv:2101.09460 (cross-list from cs.LG) [pdf, other]

Title: Feature Selection Using Reinforcement Learning

Sali Rasoul, Sodiq Adewole, Alphonse Akakpo

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

[638] arXiv:2101.09512 (cross-list from cs.LG) [pdf, other]

Title: Unsupervised clustering of series using dynamic programming

Karthigan Sinnathamby, Chang-Yu Hou, Lalitha Venkataramanan, Vasileios-Marios Gkortsas, François Fleuret

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

[639] arXiv:2101.09577 (cross-list from cs.LG) [pdf, other]

Title: ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings

Blaž Škrlj, Sašo Džeroski, Nada Lavrač, Matej Petković

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

[640] arXiv:2101.09611 (cross-list from cs.SI) [pdf, other]

Title: Generative hypergraph clustering: from blockmodels to modularity

Philip S. Chodrow, Nate Veldt, Austin R. Benson

Comments: 23 pages + 7 pages of supplementary information, 3 tables, 4 figures

Journal-ref: Science Advances,7:eabh1303, 2021

Subjects: Social and Information Networks (cs.SI); Discrete Mathematics (cs.DM); Data Analysis, Statistics and Probability (physics.data-an); Physics and Society (physics.soc-ph); Machine Learning (stat.ML)

[641] arXiv:2101.09612 (cross-list from cs.LG) [pdf, other]

Title: On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths

Quynh Nguyen

Comments: ICML 2021

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

[642] arXiv:2101.09645 (cross-list from cs.LG) [pdf, other]

Title: Multi-Task Time Series Forecasting With Shared Attention

Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng

Comments: Accepted by ICDMW 2020

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

[643] arXiv:2101.09682 (cross-list from q-fin.PR) [pdf, html, other]

Title: Solving optimal stopping problems with Deep Q-Learning

John Ery, Loris Michel

Comments: 18 pages

Subjects: Pricing of Securities (q-fin.PR); Machine Learning (stat.ML)

[644] arXiv:2101.09689 (cross-list from cs.IT) [pdf, other]

Title: A Linear Reduction Method for Local Differential Privacy and Log-lift

Ni Ding, Yucheng Liu, Farhad Farokhi

Subjects: Information Theory (cs.IT); Applications (stat.AP)

[645] arXiv:2101.09763 (cross-list from cs.LG) [pdf, other]

Title: Analysing the Noise Model Error for Realistic Noisy Label Data

Michael A. Hedderich, Dawei Zhu, Dietrich Klakow

Comments: Accepted at AAAI 2021, additional material at this https URL

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

[646] arXiv:2101.09844 (cross-list from physics.data-an) [pdf, other]

Title: Pattern Ensembling for Spatial Trajectory Reconstruction

Shivam Pathak, Mingyi He, Sergey Malinchik, Stanislav Sobolevsky

Comments: 11 pages, 5 figures

Subjects: Data Analysis, Statistics and Probability (physics.data-an); Machine Learning (cs.LG); Machine Learning (stat.ML)

[647] arXiv:2101.09957 (cross-list from cs.LG) [pdf, other]

Title: Activation Functions in Artificial Neural Networks: A Systematic Overview

Johannes Lederer

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

[648] arXiv:2101.09960 (cross-list from econ.GN) [pdf, other]

Title: Political Regime and COVID 19 death rate: efficient, biasing or simply different autocracies ?

Guilhem Cassan, Milan Van Steenvoort

Subjects: General Economics (econ.GN); Applications (stat.AP)

[649] arXiv:2101.09973 (cross-list from cs.LG) [pdf, other]

Title: Approximating Probability Distributions by ReLU Networks

Manuj Mukherjee, Aslan Tchamkerten, Mansoor Yousefi

Comments: Longer version of a paper accepted for presentation at the ITW 2020

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

[650] arXiv:2101.10037 (cross-list from cs.LG) [pdf, other]

Title: Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series

Kevin Styp-Rekowski, Florian Schmidt, Odej Kao

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