Statistics

Authors and titles for May 2021

[501] arXiv:2105.00244 (cross-list from math.OC) [pdf, other]

Title: l1-Norm Minimization with Regula Falsi Type Root Finding Methods

Metin Vural, Aleksandr Y. Aravkin, Sławomir Stan'czak

Comments: l1 -norm minimization, nonconvex models, Regula-Falsi, root-finding

Subjects: Optimization and Control (math.OC); Computation (stat.CO); Machine Learning (stat.ML)

[502] arXiv:2105.00277 (cross-list from cs.LG) [pdf, other]

Title: Multi-view Clustering via Deep Matrix Factorization and Partition Alignment

Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang

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

[503] arXiv:2105.00292 (cross-list from cs.LG) [pdf, other]

Title: Non-asymptotic Excess Risk Bounds for Classification with Deep Convolutional Neural Networks

Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang

Comments: Guohao Shen and Yuling Jiao contributed equally to this work. Co-corresponding authors: Yuanyuan Lin (Email: ylin@sta.this http URL) and Jian Huang (Email: [email protected])

Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST)

[504] arXiv:2105.00303 (cross-list from cs.LG) [pdf, other]

Title: RATT: Leveraging Unlabeled Data to Guarantee Generalization

Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton

Comments: ICML 2021 (Long Talk)

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

[505] arXiv:2105.00400 (cross-list from physics.comp-ph) [pdf, other]

Title: Model discovery in the sparse sampling regime

Gert-Jan Both, Georges Tod, Remy Kusters

Subjects: Computational Physics (physics.comp-ph); Machine Learning (stat.ML)

[506] arXiv:2105.00458 (cross-list from econ.EM) [pdf, other]

Title: A model of inter-organizational network formation

Shweta Gaonkar, Angelo Mele

Subjects: Econometrics (econ.EM); Applications (stat.AP)

[507] arXiv:2105.00470 (cross-list from cs.LG) [pdf, other]

Title: On Feature Decorrelation in Self-Supervised Learning

Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao

Comments: ICCV 2021 Oral. The first two authors contribute equally

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

[508] arXiv:2105.00507 (cross-list from cs.LG) [pdf, other]

Title: Universal scaling laws in the gradient descent training of neural networks

Maksim Velikanov, Dmitry Yarotsky

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

[509] arXiv:2105.00545 (cross-list from econ.TH) [pdf, other]

Title: High Dimensional Decision Making, Upper and Lower Bounds

Farzad Pourbabaee

Journal-ref: Economics Letters, 2021, Elsevier

Subjects: Theoretical Economics (econ.TH); Machine Learning (stat.ML)

[510] arXiv:2105.00619 (cross-list from cs.LG) [pdf, other]

Title: OpTorch: Optimized deep learning architectures for resource limited environments

Salman Ahmed, Hammad Naveed

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

[511] arXiv:2105.00620 (cross-list from cs.LG) [pdf, other]

Title: COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 Prediction

Siawpeng Er, Shihao Yang, Tuo Zhao

Subjects: Machine Learning (cs.LG); Applications (stat.AP)

[512] arXiv:2105.00728 (cross-list from cs.CV) [pdf, other]

Title: Spectral Machine Learning for Pancreatic Mass Imaging Classification

Yiming Liu, Ying Chen, Guangming Pan, Weichung Wang, Wei-Chih Liao, Yee Liang Thian, Cheng E. Chee, Constantinos P. Anastassiades

Comments: 17 pages, 3 figures

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

[513] arXiv:2105.00819 (cross-list from cs.CL) [pdf, other]

Title: Measuring diachronic sense change: new models and Monte Carlo methods for Bayesian inference

Schyan Zafar, Geoff Nicholls

Comments: Additional results included in the appendix

Journal-ref: Journal of the Royal Statistical Society Series C: Applied Statistics, Volume 71, Issue 5, November 2022, Pages 1569-1604,

Subjects: Computation and Language (cs.CL); Methodology (stat.ME)

[514] arXiv:2105.00866 (cross-list from cs.LG) [pdf, other]

Title: Causal Discovery of Flight Service Process Based on Event Sequence

Zhiwei Xing, Lin Zhang, Huan Xia, Qian Luo, Zhao-xin Chen

Subjects: Machine Learning (cs.LG); Applications (stat.AP)

[515] arXiv:2105.00879 (cross-list from econ.EM) [pdf, other]

Title: Identification and Estimation of Average Marginal Effects in Fixed Effects Logit Models

Laurent Davezies, Xavier D'Haultfoeuille, Louise Laage

Comments: 72 pages (online appendix starting at p.43). Compared to v2, we have rewritten the identification section and modified our third (uniformly valid) confidence interval

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

[516] arXiv:2105.00887 (cross-list from math.PR) [pdf, other]

Title: Mixing Time Guarantees for Unadjusted Hamiltonian Monte Carlo

Nawaf Bou-Rabee, Andreas Eberle

Comments: 43 pages

Journal-ref: Bernoulli, Volume 29, Issue 1, pages 75-104 (February 2023)

Subjects: Probability (math.PR); Numerical Analysis (math.NA); Computation (stat.CO); Machine Learning (stat.ML)

[517] arXiv:2105.00894 (cross-list from cs.LG) [pdf, other]

Title: How Bayesian Should Bayesian Optimisation Be?

George De Ath, Richard Everson, Jonathan Fieldsend

Comments: To appear in the Proceedings of Genetic and Evolutionary Computation Conference Companion (GECCO 2021), ACM. 10 pages (main paper) + 26 pages (supplement)

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

[518] arXiv:2105.00909 (cross-list from physics.soc-ph) [pdf, other]

Title: Cyclone preparedness strategies for regional power transmission systems in data-scarce coastal regions of India

Surender V Raj, Udit Bhatia, Manish Kumar

Subjects: Physics and Society (physics.soc-ph); Applications (stat.AP)

[519] arXiv:2105.00991 (cross-list from cs.IR) [pdf, other]

Title: Context-aware Ensemble of Multifaceted Factorization Models for Recommendation Prediction in Social Networks

Yunwen Chen, Zuotao Liu, Daqi Ji, Yingwei Xin, Wenguang Wang, Lu Yao, Yi Zou

Comments: KDD 2012

Subjects: Information Retrieval (cs.IR); Computation and Language (cs.CL); Computation (stat.CO)

[520] arXiv:2105.00997 (cross-list from cs.SI) [pdf, other]

Title: Recovering Barab\'asi-Albert Parameters of Graphs through Disentanglement

Cristina Guzman, Daphna Keidar, Tristan Meynier, Andreas Opedal, Niklas Stoehr

Comments: Accepted at the 9th International Conference on Learning Representations (ICLR 2021), Workshop on Geometrical and Topological Representation Learning

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

[521] arXiv:2105.01015 (cross-list from cs.LG) [pdf, other]

Title: Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization

Julia Guerrero-Viu, Sven Hauns, Sergio Izquierdo, Guilherme Miotto, Simon Schrodi, Andre Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter

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

[522] arXiv:2105.01108 (cross-list from cs.IT) [pdf, other]

Title: Consistent Density Estimation Under Discrete Mixture Models

Luc Devroye, Alex Dytso

Comments: Reason for withdrawal: There is an issue with the proof of Theorem~1

Subjects: Information Theory (cs.IT); Statistics Theory (math.ST); Machine Learning (stat.ML)

[523] arXiv:2105.01150 (cross-list from cs.CL) [pdf, other]

Title: Modeling Social Readers: Novel Tools for Addressing Reception from Online Book Reviews

Pavan Holur, Shadi Shahsavari, Ehsan Ebrahimzadeh, Timothy R. Tangherlini, Vwani Roychowdhury

Subjects: Computation and Language (cs.CL); Applications (stat.AP)

[524] arXiv:2105.01185 (cross-list from cond-mat.stat-mech) [pdf, other]

Title: Effective temperatures for single particle system under dichotomous noise

João R. Medeiros, Sílvio M. Duarte Queirós

Journal-ref: J. Stat. Mech. (2021) 063205

Subjects: Statistical Mechanics (cond-mat.stat-mech); Classical Physics (physics.class-ph); Computation (stat.CO)

[525] arXiv:2105.01200 (cross-list from cond-mat.soft) [pdf, other]

Title: Uncertainty quantification and estimation in differential dynamic microscopy

Mengyang Gu, Yimin Luo, Yue He, Matthew E. Helgeson, Megan T. Valentine

Comments: Published in Physical Review E. 24 pages, 12 figures. Typos in Section 2B are corrected

Journal-ref: Phys. Rev. E 104, 034610 (2021)

Subjects: Soft Condensed Matter (cond-mat.soft); Data Analysis, Statistics and Probability (physics.data-an); Applications (stat.AP)

[526] arXiv:2105.01228 (cross-list from math.NA) [pdf, other]

Title: A Priori Generalization Error Analysis of Two-Layer Neural Networks for Solving High Dimensional Schr\"odinger Eigenvalue Problems

Jianfeng Lu, Yulong Lu

Subjects: Numerical Analysis (math.NA); Mathematical Physics (math-ph); Analysis of PDEs (math.AP); Probability (math.PR); Machine Learning (stat.ML)

[527] arXiv:2105.01346 (cross-list from cs.AI) [pdf, other]

Title: Implicit Regularization in Deep Tensor Factorization

Paolo Milanesi (QARMA), Hachem Kadri (LIS, QARMA, AMU SCI), Stéphane Ayache (QARMA), Thierry Artières (QARMA)

Journal-ref: International Joint Conference on Neural Networks (IJCNN), Jul 2021, Online, China

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

[528] arXiv:2105.01348 (cross-list from cs.IT) [pdf, other]

Title: Continuous indetermination and average likelihood minimization

Pierre Bertrand (LPSM), Michel Broniatowski (LPSM), Jean-François Marcotorchino

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

[529] arXiv:2105.01420 (cross-list from cs.LG) [pdf, other]

Title: Training Quantized Neural Networks to Global Optimality via Semidefinite Programming

Burak Bartan, Mert Pilanci

Comments: v2: Minor edits in the text. The results are unchanged

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

[530] arXiv:2105.01422 (cross-list from math.PR) [pdf, other]

Title: On the stability of the stochastic gradient Langevin algorithm with dependent data stream

Miklós Rásonyi, Kinga Tikosi

Subjects: Probability (math.PR); Optimization and Control (math.OC); Statistics Theory (math.ST)

[531] arXiv:2105.01426 (cross-list from econ.GN) [pdf, other]

Title: Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets

Martin Huber, Jonas Meier, Hannes Wallimann

Subjects: General Economics (econ.GN); Machine Learning (stat.ML)

[532] arXiv:2105.01550 (cross-list from cs.LG) [pdf, other]

Title: A Finer Calibration Analysis for Adversarial Robustness

Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong

Comments: arXiv admin note: text overlap with arXiv:2104.09658

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

[533] arXiv:2105.01593 (cross-list from cs.LG) [pdf, other]

Title: Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation

Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant

Comments: This version removes most assumptions of the prior one

Journal-ref: International Conference on Machine Learning (ICML) 2022

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

[534] arXiv:2105.01636 (cross-list from cs.LG) [pdf, other]

Title: Learning 3D Granular Flow Simulations

Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter

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

[535] arXiv:2105.01706 (cross-list from cs.LG) [pdf, other]

Title: Sampling From the Wasserstein Barycenter

Chiheb Daaloul (1), Thibaut Le Gouic (2), Jacques Liandrat (1), Magali Tournus (1) ((1) Aix-Marseille Univ., CNRS, I2M, UMR7373, Centrale Marseille, Marseille, France, (2) Massachusetts Institute of Technology, Department of Mathematics, USA)

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

[536] arXiv:2105.01723 (cross-list from q-bio.PE) [pdf, other]

Title: Convergence of maximum likelihood supertree reconstruction

Lam Si Tung Ho, Vu Dinh

Subjects: Populations and Evolution (q-bio.PE); Statistics Theory (math.ST)

[537] arXiv:2105.01737 (cross-list from cs.CE) [pdf, other]

Title: Inspection of ratcheting models for pathological error sensitivity and overparametrization

A. A. Kaygorodtseva, A. V. Shutov

Comments: 20 pages, 13 figures

Subjects: Computational Engineering, Finance, and Science (cs.CE); Materials Science (cond-mat.mtrl-sci); Applications (stat.AP)

[538] arXiv:2105.01850 (cross-list from cs.LG) [pdf, other]

Title: Preference learning along multiple criteria: A game-theoretic perspective

Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright

Comments: 47 pages; published as a conference paper at NeurIPS 2020

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

[539] arXiv:2105.01867 (cross-list from cs.LG) [pdf, other]

Title: A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs

Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska

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

[540] arXiv:2105.02062 (cross-list from cs.LG) [pdf, other]

Title: Understanding Short-Range Memory Effects in Deep Neural Networks

Chengli Tan, Jiangshe Zhang, Junmin Liu

Comments: 15pages

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

[541] arXiv:2105.02211 (cross-list from q-fin.TR) [pdf, other]

Title: Simulation and estimation of a point-process market-model with a matching engine

Ivan Jericevich, Patrick Chang, Tim Gebbie

Comments: 19 pages, 33 figures

Subjects: Trading and Market Microstructure (q-fin.TR); Computational Finance (q-fin.CP); Computation (stat.CO)

[542] arXiv:2105.02221 (cross-list from cs.LG) [pdf, other]

Title: How Fine-Tuning Allows for Effective Meta-Learning

Kurtland Chua, Qi Lei, Jason D. Lee

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

[543] arXiv:2105.02259 (cross-list from cs.IT) [pdf, other]

Title: Information Limits for Detecting a Subhypergraph

Mingao Yuan, Zuofeng Shang

Subjects: Information Theory (cs.IT); Statistics Theory (math.ST); Machine Learning (stat.ML)

[544] arXiv:2105.02375 (cross-list from cs.LG) [pdf, other]

Title: A Geometric Analysis of Neural Collapse with Unconstrained Features

Zhihui Zhu, Tianyu Ding, Jinxin Zhou, Xiao Li, Chong You, Jeremias Sulam, Qing Qu

Comments: 42 pages, 8 figures, 1 table; the first two authors contributed to this work equally

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Optimization and Control (math.OC); Machine Learning (stat.ML)

[545] arXiv:2105.02470 (cross-list from cs.LG) [pdf, other]

Title: Generalized Multimodal ELBO

Thomas M. Sutter, Imant Daunhawer, Julia E. Vogt

Comments: 2021 ICLR

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

[546] arXiv:2105.02471 (cross-list from eess.SP) [pdf, other]

Title: Signal Analysis via the Stochastic Geometry of Spectrogram Level Sets

Subhroshekhar Ghosh, Meixia Lin, Dongfang Sun

Journal-ref: IEEE Transactions on Signal Processing, Vol. 70, 2022

Subjects: Signal Processing (eess.SP); Sound (cs.SD); Audio and Speech Processing (eess.AS); Probability (math.PR); Statistics Theory (math.ST)

[547] arXiv:2105.02526 (cross-list from cs.CR) [pdf, other]

Title: Honeyboost: Boosting honeypot performance with data fusion and anomaly detection

Sevvandi Kandanaarachchi, Hideya Ochiai, Asha Rao

Comments: 26 pages

Subjects: Cryptography and Security (cs.CR); Applications (stat.AP)

[548] arXiv:2105.02551 (cross-list from cs.LG) [pdf, other]

Title: Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods

Jary Pomponi, Simone Scardapane, Aurelio Uncini

Comments: Article accepted at Neural Networks

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

[549] arXiv:2105.02597 (cross-list from physics.data-an) [pdf, other]

Title: Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories

Carlo Manzo

Comments: 16 pages, 6 figures

Subjects: Data Analysis, Statistics and Probability (physics.data-an); Biological Physics (physics.bio-ph); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)

[550] arXiv:2105.02625 (cross-list from cs.LG) [pdf, other]

Title: Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions

Anish Karpurapu, Adam Krekorian, Ye Tian, Leslie M. Collins, Ravi Karra, Aaron Franklin, Boyla O. Mainsah

Subjects: Machine Learning (cs.LG); Applications (stat.AP)