Publications

Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
Aleksandr Beznosikov
David Dobre
Gauthier Gidel
The Frank-Wolfe (FW) method is a popular approach for solving optimization problems with structured constraints that arise in machine learni… (see more)ng applications. In recent years, stochastic versions of FW have gained popularity, motivated by large datasets for which the computation of the full gradient is prohibitively expensive. In this paper, we present two new variants of the FW algorithms for stochastic finite-sum minimization. Our algorithms have the best convergence guarantees of existing stochastic FW approaches for both convex and non-convex objective functions. Our methods do not have the issue of permanently collecting large batches, which is common to many stochastic projection-free approaches. Moreover, our second approach does not require either large batches or full deterministic gradients, which is a typical weakness of many techniques for finite-sum problems. The faster theoretical rates of our approaches are confirmed experimentally.
2023-04-23
ArXiv (preprint)
doi.org
arxiv.org
Environmental Scan of Existing Digital Health Solutions for Older Adults Living with Neurocognitive Disorders (Mild and Major) and Their Informal Caregivers: Summary Report
Ambily Jose
Maxime Sasseville
Ellen Gorus
Anik Giguère
Anne Bourbonnais
Samira Abbasgholizadeh-Rahimi
Ronald Buyl
Marie-Pierre Gagnon
: Digital health has added numerous promising solutions to enhance the health and wellness of people living with dementia and other cognitiv… (see more)e problems and their informal caregivers. This work aims to summarize currently available digital health solutions and their related characteristics to develop a decision support tool for older adults living with mild or major neurocognitive disorders and their informal caregivers. We conducted an environmental scan to identify digital health solutions from a systematic review and targeted searches for grey literature covering the regions of Canada and Europe. Technological tools were scanned based on a preformatted extraction grid. We assessed their relevance based on selected attributes. We identified 100 available digital health solutions. The majority (56%) were not specific to dementia. Only 28% provided scientific evidence of their effectiveness. Remote patient care, movement tracking and cognitive exercises were the most common purposes of digital health solutions. Most solutions were presented as mobility aid tools, pill dispensers, apps, web, or a combination of these platforms. This knowledge will inform the development of a decision support tool to assist older adults and their informal caregivers in their search for adequate eHealth solutions according to their needs and preferences, based on trustable information.
2023-04-22
Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health (published)
doi.org
An exploratory cross-sectional study of the effects of ongoing relationships with accompanying patients on cancer care experience, self-efficacy, and psychological distress
Marie-Pascale Pomey
Monica Iliescu Nelea
Louise Normandin
Cécile Vialaron
Karine Bouchard
Marie‐Andrée Côté
Maria Alejandra Rodriguez Duarte
Djahanchah Philip Ghadiri
Israël Fortin
Danielle Charpentier
Mélanie Lavoie-Tremblay
Nicolas Fernandez
Antoine Boivin
Michel Dorval
Mado Desforges
Catherine Régis
Isabelle Ganache
Lynda Bélanger
Zeev Rosberger
Michel Alain Danino … (see 3 more)
Jean-François Pelletier
Thi Trinh Thuc Vu
Michèle de Guise
2023-04-22
BMC Cancer (published)
doi.org
SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation
O. Therrien
Marihan Amein
Zhuoran Xiong
Warren Gross
Brett Meyer
We present SSS3D, a fast multi-objective NAS framework designed to find computationally efficient 3D semantic scene segmentation networks. I… (see more)t uses RandLA-Net, an off-the-shelf point-based network, as a super-network to enable weight sharing and reduce search time by 99.67% for single-stage searches. SSS3D has a complex search space composed of sampling and architectural parameters that can form 2.88 * 10^17 possible networks. To further reduce search time, SSS3D splits the complete search space and introduces a two-stage search that finds optimal subnetworks in 54% of the time required by single-stage searches.
2023-04-21
ArXiv (preprint)
doi.org
arxiv.org
The Flag and the Cross: White Christian Nationalism and the Threat to American Democracy by Philip S. Gorski and Samuel L. Perry (review)
David Scott Krueger
2023-04-21
(published)
www.semanticscholar.org
The Flag and the Cross: White Christian Nationalism and the Threat to American Democracy by Philip S. Gorski and Samuel L. Perry (review)
David Scott Krueger
2023-04-21
(published)
www.semanticscholar.org
Aspirations and Practice of ML Model Documentation: Moving the Needle with Nudging and Traceability
Avinash Bhat
Austin Coursey
Grace Hu
Sixian Li
Nadia Nahar
Shurui Zhou
Christian Kästner
Jin Guo
The documentation practice for machine-learned (ML) models often falls short of established practices for traditional software, which impede… (see more)s model accountability and inadvertently abets inappropriate or misuse of models. Recently, model cards, a proposal for model documentation, have attracted notable attention, but their impact on the actual practice is unclear. In this work, we systematically study the model documentation in the field and investigate how to encourage more responsible and accountable documentation practice. Our analysis of publicly available model cards reveals a substantial gap between the proposal and the practice. We then design a tool named DocML aiming to (1) nudge the data scientists to comply with the model cards proposal during the model development, especially the sections related to ethics, and (2) assess and manage the documentation quality. A lab study reveals the benefit of our tool towards long-term documentation quality and accountability.
2023-04-19
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (published)
doi.org
arxiv.org
Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals
Piotr Mirowski
Kory Wallace Mathewson
Jaylen Pittman
Richard Evans
2023-04-19
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (published)
doi.org
arxiv.org
From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML
Shalaleh Rismani
Renee Shelby
Andrew J Smart
Edgar Jatho
Joshua A. Kroll
AJung Moon
Negar Rostamzadeh
2023-04-19
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (published)
doi.org
openreview.net
Investigating the Nature of 3D Generalization in Deep Neural Networks
Shoaib Ahmed Siddiqui
David Scott Krueger
Thomas M. Breuel
2023-04-19
ArXiv (preprint)
doi.org
arxiv.org
Playing the System: Can Puzzle Players Teach us How to Solve Hard Problems?
Renata Mutalova
Roman Sarrazin-Gendron
Eddie Cai
Gabriel Richard
Parham Ghasemloo Gheidari
Sébastien Caisse
Rob Knight
Mathieu Blanchette
Attila Szantner
Jérôme Waldispühl
2023-04-19
International Conference on Human Factors in Computing Systems (published)
doi.org
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data
2023-04-18
NeuroImage (published)
doi.org