Statistics

Authors and titles for July 2020

[1601] arXiv:2007.11344 (cross-list from cs.LG) [pdf, other]

Title: DEAL: Deep Evidential Active Learning for Image Classification

Patrick Hemmer, Niklas Kühl, Jakob Schöffer

Comments: Extended version of the paper "DEAL: Deep Evidential Active Learning for Image Classification" accepted for publication at ICMLA 2020

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

[1602] arXiv:2007.11353 (cross-list from cs.LG) [pdf, other]

Title: InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level

Michael Pühringer, Andreas Hinterreiter, Marc Streit

Comments: conditionally accepted for IEEE VIS 2020 short paper track; minor revisions compared to original version

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

[1603] arXiv:2007.11362 (cross-list from cs.LG) [pdf, other]

Title: Time-Reversal Symmetric ODE Network

In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin

Comments: 15 pages; accepted to NeurIPS 2020; Code is available at this https URL v3: references added, typo corrected

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

[1604] arXiv:2007.11391 (cross-list from eess.SP) [pdf, other]

Title: Blind hierarchical deconvolution

Arttu Arjas, Lassi Roininen, Mikko J. Sillanpää, Andreas Hauptmann

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

[1605] arXiv:2007.11412 (cross-list from physics.comp-ph) [pdf, other]

Title: Coarse Graining Molecular Dynamics with Graph Neural Networks

Brooke E. Husic, Nicholas E. Charron, Dominik Lemm, Jiang Wang, Adrià Pérez, Maciej Majewski, Andreas Krämer, Yaoyi Chen, Simon Olsson, Gianni de Fabritiis, Frank Noé, Cecilia Clementi

Comments: 17 pages, 9 figures

Subjects: Computational Physics (physics.comp-ph); Biological Physics (physics.bio-ph); Chemical Physics (physics.chem-ph); Biomolecules (q-bio.BM); Machine Learning (stat.ML)

[1606] arXiv:2007.11416 (cross-list from cs.LG) [pdf, other]

Title: Spectral Clustering using Eigenspectrum Shape Based Nystrom Sampling

Djallel Bouneffouf

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

[1607] arXiv:2007.11446 (cross-list from cs.LG) [pdf, other]

Title: Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms

Maryam Abdolali, Nicolas Gillis

Comments: 38 pages

Journal-ref: SIAM J. on Mathematics of Data Science 3 (2), 593-623, 2021

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

[1608] arXiv:2007.11455 (cross-list from cs.LG) [pdf, other]

Title: Supervised learning on heterogeneous, attributed entities interacting over time

Amine Laghaout

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

[1609] arXiv:2007.11465 (cross-list from cs.LG) [pdf, other]

Title: Wasserstein Routed Capsule Networks

Alexander Fuchs, Franz Pernkopf

Comments: 8 pages, 3 figures

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

[1610] arXiv:2007.11471 (cross-list from cs.LG) [pdf, other]

Title: Geometric compression of invariant manifolds in neural nets

Jonas Paccolat, Leonardo Petrini, Mario Geiger, Kevin Tyloo, Matthieu Wyart

Journal-ref: Journal of Statistical Mechanics: Theory and Experiment, Volume 2021, April 2021

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

[1611] arXiv:2007.11482 (cross-list from cs.IT) [pdf, other]

Title: Multi-reference alignment in high dimensions: sample complexity and phase transition

Elad Romanov, Tamir Bendory, Or Ordentlich

Journal-ref: SIAM Journal on Mathematics of Data Science 3.2 (2021): 494-523

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

[1612] arXiv:2007.11500 (cross-list from cs.LG) [pdf, other]

Title: Debiasing Concept-based Explanations with Causal Analysis

Mohammad Taha Bahadori, David E. Heckerman

Comments: Accepted in ICLR 2021

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

[1613] arXiv:2007.11524 (cross-list from cs.LG) [pdf, other]

Title: Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising

Milad Nasr, Reza Shokri, Amir houmansadr

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

[1614] arXiv:2007.11572 (cross-list from cs.LG) [pdf, other]

Title: Complex Sequential Data Analysis: A Systematic Literature Review of Existing Algorithms

Kudakwashe Dandajena, Isabella M. Venter, Mehrdad Ghaziasgar, Reg Dodds

Comments: 7 pages, 4 figures, Saicsit 20, Cape Town, South Africa

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

[1615] arXiv:2007.11609 (cross-list from cs.LG) [pdf, other]

Title: Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation

Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar, Emily Doucette

Comments: 13 pages, 1 figure, 14 tables, accepted for publication in the Neurocomputing journal

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

[1616] arXiv:2007.11652 (cross-list from cs.LG) [pdf, other]

Title: Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms

Carl Johnell, Morteza Haghir Chehreghani

Comments: Accepted at CIKM 2022. Sole copyright holder is ACM - CIKM (ACM International Conference on Information & Knowledge Management), all rights reserved. Available at this https URL

Journal-ref: ACM International Conference on Information & Knowledge Management (CIKM), pages 915-924, 2022

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

[1617] arXiv:2007.11674 (cross-list from q-bio.NC) [pdf, other]

Title: Using EEG-based brain connectivity for the study of brain dynamics in brain-computer interfaces

J.A. Gaxiola-Tirado

Comments: in Spanish

Journal-ref: Revista Doctorado UMH, 2020

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

[1618] arXiv:2007.11684 (cross-list from cs.LG) [pdf, other]

Title: Approximation Benefits of Policy Gradient Methods with Aggregated States

Daniel Russo

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

[1619] arXiv:2007.11693 (cross-list from cs.LG) [pdf, other]

Title: Robust Machine Learning via Privacy/Rate-Distortion Theory

Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin

Comments: 9 pages, 2 figures, accepted at 2021 IEEE International Symposium on Information Theory

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

[1620] arXiv:2007.11698 (cross-list from q-bio.NC) [pdf, other]

Title: Body sway responses to pseudorandom support surface translations of vestibular loss subjects resemble those of vestibular able subjects

V. Lippi, L. Assländer, E. Akcay, T. Mergner

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

[1621] arXiv:2007.11707 (cross-list from cs.LG) [pdf, other]

Title: Breaking the Communication-Privacy-Accuracy Trilemma

Wei-Ning Chen, Peter Kairouz, Ayfer Özgür

Comments: 35 pages, 9 figures, submitted to NeurIPS 2020

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

[1622] arXiv:2007.11752 (cross-list from cs.LG) [pdf, other]

Title: Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks

Ting-Wu Chin, Ari S. Morcos, Diana Marculescu

Comments: Accepted at ECML-PKDD 2021 (Research Track), 4-page abridged versions have been accepted at non-archival venues including RealML and DMMLSys workshops at ICML'20 and DLP-KDD and AdvML workshops at KDD'20

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

[1623] arXiv:2007.11779 (cross-list from q-bio.PE) [pdf, other]

Title: Anti-clustering in the national SARS-CoV-2 daily infection counts

Boudewijn F. Roukema

Comments: 30 pages, 17 figures, 12 tables; zenodo.5262698 at this https URL, live git at this https URL, archived git at this https URL ; v2: comparison with alternative methods and correlation with PFI, data updated to May 2021; v3: refs added, version accepted in PeerJ

Journal-ref: PeerJ 9 (2021) e11856

Subjects: Populations and Evolution (q-bio.PE); Physics and Society (physics.soc-ph); Methodology (stat.ME)

[1624] arXiv:2007.11819 (cross-list from eess.SP) [pdf, other]

Title: A Non-Intrusive Load Monitoring Approach for Very Short Term Power Predictions in Commercial Buildings

Karoline Brucke, Stefan Arens, Jan-Simon Telle, Thomas Steens, Benedikt Hanke, Karsten von Maydell, Carsten Agert

Comments: 15 pages, 14 figures, 4 tables

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

[1625] arXiv:2007.11826 (cross-list from cs.LG) [pdf, other]

Title: Hierarchical Verification for Adversarial Robustness

Cong Han Lim, Raquel Urtasun, Ersin Yumer

Comments: Published at ICML 2020

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

[1626] arXiv:2007.11831 (cross-list from cs.LG) [pdf, other]

Title: DBS: Dynamic Batch Size For Distributed Deep Neural Network Training

Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv

Comments: The latest version of this article has been accepted by IEEE TETCI

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (stat.ML)

[1627] arXiv:2007.11838 (cross-list from cs.LG) [pdf, other]

Title: PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming

Alexander K. Lew, Monica Agrawal, David Sontag, Vikash K. Mansinghka

Comments: Published version

Journal-ref: AISTATS 2021

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

[1628] arXiv:2007.11847 (cross-list from cs.LG) [pdf, other]

Title: METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams

Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo

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

[1629] arXiv:2007.11849 (cross-list from cs.LG) [pdf, other]

Title: Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation

Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain

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

[1630] arXiv:2007.11894 (cross-list from cs.LG) [pdf, other]

Title: Multi-Sample Online Learning for Probabilistic Spiking Neural Networks

Hyeryung Jang, Osvaldo Simeone

Comments: Submitted

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

[1631] arXiv:2007.11926 (cross-list from cs.LG) [pdf, other]

Title: Efficient Evaluation of the Partition Function of RBMs with Annealed Importance Sampling

Ferran Mazzanti, Enrique Romero

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

[1632] arXiv:2007.11934 (cross-list from cs.LG) [pdf, other]

Title: Private Post-GAN Boosting

Marcel Neunhoeffer, Zhiwei Steven Wu, Cynthia Dwork

Journal-ref: International Conference on Learning Representations, 2021

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

[1633] arXiv:2007.11937 (cross-list from cs.LG) [pdf, other]

Title: Scalable Initialization Methods for Large-Scale Clustering

Joonas Hämäläinen, Tommi Kärkkäinen, Tuomo Rossi

Comments: 11 pages, submitted to IEEE Transactions on Big Data

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

[1634] arXiv:2007.11975 (cross-list from cs.LG) [pdf, other]

Title: Online Boosting with Bandit Feedback

Nataly Brukhim, Elad Hazan

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

[1635] arXiv:2007.12000 (cross-list from cs.LG) [pdf, other]

Title: ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation

Fei Mi, Xiaoyu Lin, Boi Faltings

Comments: Accepted at RecSys 2020

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

[1636] arXiv:2007.12002 (cross-list from cs.LG) [pdf, other]

Title: Grale: Designing Networks for Graph Learning

Jonathan Halcrow, Alexandru Moşoi, Sam Ruth, Bryan Perozzi

Comments: 10 pages, 6 figures, to be published in KDD'20

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

[1637] arXiv:2007.12020 (cross-list from cs.LG) [pdf, other]

Title: Few-shot Visual Reasoning with Meta-analogical Contrastive Learning

Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang

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

[1638] arXiv:2007.12035 (cross-list from cs.LG) [pdf, other]

Title: The expressive power of kth-order invariant graph networks

Floris Geerts

Comments: 18 pages

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

[1639] arXiv:2007.12036 (cross-list from cs.CV) [pdf, other]

Title: Implicit Latent Variable Model for Scene-Consistent Motion Forecasting

Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun

Comments: European Conference on Computer Vision (ECCV) 2020

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

[1640] arXiv:2007.12070 (cross-list from cs.CR) [pdf, other]

Title: Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification

Chuanshuai Chen, Jiazhu Dai

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

[1641] arXiv:2007.12087 (cross-list from cs.LG) [pdf, other]

Title: Hide-and-Seek Privacy Challenge

James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar

Comments: 19 pages, 5 figures. Part of the NeurIPS 2020 competition track

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

[1642] arXiv:2007.12098 (cross-list from cs.LG) [pdf, other]

Title: Optimal Transport using GANs for Lineage Tracing

Neha Prasad, Karren Yang, Caroline Uhler

Comments: 4 pages excluding references, 2 figures, 3 tables. Accepted at ICML 2020 Workshop on Computational Biology for Spotlight Presentation. Code can be found here: this https URL

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

[1643] arXiv:2007.12100 (cross-list from cs.LG) [pdf, other]

Title: Deep Active Learning by Model Interpretability

Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu

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

[1644] arXiv:2007.12101 (cross-list from cs.LG) [pdf, other]

Title: Learning Differentiable Programs with Admissible Neural Heuristics

Ameesh Shah, Eric Zhan, Jennifer J. Sun, Abhinav Verma, Yisong Yue, Swarat Chaudhuri

Comments: 9 pages, published in NeurIPS 2020

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

[1645] arXiv:2007.12133 (cross-list from cs.LG) [pdf, other]

Title: Provably Robust Adversarial Examples

Dimitar I. Dimitrov, Gagandeep Singh, Timon Gehr, Martin Vechev

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

[1646] arXiv:2007.12158 (cross-list from cs.LG) [pdf, other]

Title: Signal Enhancement for Magnetic Navigation Challenge Problem

Albert R. Gnadt, Joseph Belarge, Aaron Canciani, Glenn Carl, Lauren Conger, Joseph Curro, Alan Edelman, Peter Morales, Aaron P. Nielsen, Michael F. O'Keeffe, Christopher V. Rackauckas, Jonathan Taylor, Allan B. Wollaber

Comments: 12 pages, 2 figures. See this https URL for accompanying data and code

Subjects: Machine Learning (cs.LG); Geophysics (physics.geo-ph); Machine Learning (stat.ML)

[1647] arXiv:2007.12161 (cross-list from cs.LG) [pdf, other]

Title: Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles

Morteza Noshad, Ivana Jankovic, Jonathan H. Chen

Comments: Proceedings of 2020 KDD Workshop onApplied Data Science for Healthcare (KDD 2020).ACM

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

[1648] arXiv:2007.12167 (cross-list from physics.comp-ph) [pdf, other]

Title: Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation

Romit Maulik, Themistoklis Botsas, Nesar Ramachandra, Lachlan Robert Mason, Indranil Pan

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

[1649] arXiv:2007.12173 (cross-list from cs.LG) [pdf, other]

Title: Bridging the Imitation Gap by Adaptive Insubordination

Luca Weihs, Unnat Jain, Iou-Jen Liu, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing

Comments: NeurIPS'21 version. The first two authors contributed equally. Project page: this https URL

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

[1650] arXiv:2007.12213 (cross-list from cs.LG) [pdf, other]

Title: The Representation Theory of Neural Networks

Marco Antonio Armenta, Pierre-Marc Jodoin

Comments: 52 pages

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