Machine Learning

Authors and titles for stat.ML in May 2022

[1]  arXiv:2205.00007 [pdf, other]

Title: Graph Learning from Multivariate Dependent Time Series via a Multi-Attribute Formulation

Authors: Jitendra K Tugnait

Comments: 5 pages, 2 figures, accepted to 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Singapore, May 22-27, 2022. arXiv admin note: text overlap with arXiv:2111.07897

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

[2]  arXiv:2205.00058 [pdf, other]

Title: Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent

Authors: Yiling Luo, Xiaoming Huo, Yajun Mei

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

[3]  arXiv:2205.00061 [pdf, other]

Title: The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models

Authors: Yiling Luo, Xiaoming Huo, Yajun Mei

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

[4]  arXiv:2205.00350 [pdf, other]

Title: Orthogonal Statistical Learning with Self-Concordant Loss

Authors: Lang Liu, Carlos Cinelli, Zaid Harchaoui

Comments: COLT 2022

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

[5]  arXiv:2205.00504 [pdf, ps, other]

Title: Domain Adaptation meets Individual Fairness. And they get along

Authors: Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun

Comments: Published at NeurIPS 2022

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Machine Learning (cs.LG)

[6]  arXiv:2205.00662 [pdf, other]

Title: Skeptical binary inferences in multi-label problems with sets of probabilities

Authors: Yonatan Carlos Carranza Alarcón, Sébastien Destercke

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

[7]  arXiv:2205.01054 [pdf, ps, other]

Title: A Change Dynamic Model for the Online Detection of Gradual Change

Authors: Chris Browne

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

[8]  arXiv:2205.01158 [pdf, other]

Title: Reproducing Kernels and New Approaches in Compositional Data Analysis

Authors: Binglin Li, Jeongyoun Ahn

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

[9]  arXiv:2205.01257 [pdf, other]

Title: Norm-Agnostic Linear Bandits

Authors: Spencer (Brady) Gales, Sunder Sethuraman, Kwang-Sung Jun

Comments: AISTATS'22; added acknowledgements

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

[10]  arXiv:2205.01303 [pdf, ps, other]

Title: Convergence of Stochastic Approximation via Martingale and Converse Lyapunov Methods

Authors: M. Vidyasagar

Comments: 20 pages; dedicated to Prof. Eduardo Sontag on the occasion of his 70th birthday, and to Prof. Rajeeva L. Karandikar on his 65th birthday

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

[11]  arXiv:2205.01445 [pdf, other]

Title: High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation

Authors: Jimmy Ba, Murat A. Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu, Greg Yang

Comments: 71 pages

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

[12]  arXiv:2205.01486 [pdf, other]

Title: Scalable Regularised Joint Mixture Models

Authors: Thomas Lartigue, Sach Mukherjee

Comments: 53 pages, 31 figures

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

[13]  arXiv:2205.01607 [pdf, other]

Title: Modeling and Correcting Bias in Sequential Evaluation

Authors: Jingyan Wang, Ashwin Pananjady

Subjects: Machine Learning (stat.ML); Computer Science and Game Theory (cs.GT); Information Theory (cs.IT); Machine Learning (cs.LG)

[14]  arXiv:2205.01754 [pdf, other]

Title: Bézier Curve Gaussian Processes

Authors: Ronny Hug, Stefan Becker, Wolfgang Hübner, Michael Arens, Jürgen Beyerer

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

[15]  arXiv:2205.01875 [pdf, other]

Title: Machine Learning based Framework for Robust Price-Sensitivity Estimation with Application to Airline Pricing

Authors: Ravi Kumar, Shahin Boluki, Karl Isler, Jonas Rauch, Darius Walczak

Comments: 20 pages

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Econometrics (econ.EM); Applications (stat.AP)

[16]  arXiv:2205.02043 [pdf, other]

Title: A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks

Authors: Jie Wang, Minshuo Chen, Tuo Zhao, Wenjing Liao, Yao Xie

Comments: 32 pages, 2 figures, 3 tables. Accepted by Information and Inference: A Journal of the IMA

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

[17]  arXiv:2205.02260 [pdf, other]

Title: Multivariate Prediction Intervals for Random Forests

Authors: Brendan Folie, Maxwell Hutchinson

Comments: 9 pages, 4 figures. Submitted to NeurIPS 2022

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

[18]  arXiv:2205.02264 [pdf, other]

Title: DeepBayes -- an estimator for parameter estimation in stochastic nonlinear dynamical models

Authors: Anubhab Ghosh, Mohamed Abdalmoaty, Saikat Chatterjee, Håkan Hjalmarsson

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

[19]  arXiv:2205.02410 [pdf, other]

Title: Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control

Authors: Wei Xie, Keqi Wang, Hua Zheng, Ben Feng

Comments: 11 pages, 2 figures

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

[20]  arXiv:2205.02818 [pdf, other]

Title: Generative methods for sampling transition paths in molecular dynamics

Authors: Tony Lelièvre, Geneviève Robin, Inass Sekkat, Gabriel Stoltz, Gabriel Victorino Cardoso

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

[21]  arXiv:2205.02935 [pdf, other]

Title: Explainable multi-class anomaly detection on functional data

Authors: Mathieu Cura, Katarina Firdova, Céline Labart, Arthur Martel

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

[22]  arXiv:2205.03078 [pdf, other]

Title: Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures

Authors: Christian Soize

Comments: 30 pages, 10 figures

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

[23]  arXiv:2205.03194 [pdf, ps, other]

Title: Scalable computation of prediction intervals for neural networks via matrix sketching

Authors: Alexander Fishkov, Maxim Panov

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

[24]  arXiv:2205.03318 [pdf, ps, other]

Title: Benchmarking Econometric and Machine Learning Methodologies in Nowcasting

Authors: Daniel Hopp

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

[25]  arXiv:2205.03454 [pdf, ps, other]

Title: Structure Learning in Graphical Models from Indirect Observations

Authors: Hang Zhang, Afshin Abdi, Faramarz Fekri

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