Cover Image

Sufficient dimension reduction for regression with metric space-valued responses

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Soale, Abdul-Nasah, Dong, Yuexiao
Format:	Preprint
Published:	2023
Subjects:	Methodology Human-Computer Interaction Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On metric choice in dimension reduction for Fréchet regression
by: Soale, Abdul-Nasah, et al.
Published: (2024)

Detecting influential observations in single-index Fréchet regression
by: Soale, Abdul-Nasah
Published: (2023)

Adaptive Influence Diagnostics in High-Dimensional Regression
by: Soale, Abdul-Nasah, et al.
Published: (2025)

Active Inference with People: a general approach to real-time adaptive experiments
by: Gautheron, Lucas, et al.
Published: (2026)

Better Assumptions, Stronger Conclusions: The Case for Ordinal Regression in HCI
by: Syiem, Brandon Victor, et al.
Published: (2026)

Mental Effort Estimation in Motion Exploration and Concept Generation Design Tasks using Inter-Band Relative Power Difference of EEG
by: Ramana, G. Kalyan, et al.
Published: (2025)

OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data
by: Lu, Yiwen, et al.
Published: (2024)

Clustered Covariate Regression
by: Soale, Abdul-Nasah, et al.
Published: (2023)

Artificial Data, Real Insights: Evaluating Opportunities and Risks of Expanding the Data Ecosystem with Synthetic Data
by: Timpone, Richard, et al.
Published: (2024)

The Space Between Us: A Methodological Framework for Researching Bonding and Proxemics in Situated Group-Agent Interactions
by: Müller, Ana, et al.
Published: (2025)

Exploring Convergence in Relation using Association Rules Mining: A Case Study in Collaborative Knowledge Production
by: Ling, Jiahe, et al.
Published: (2024)

Vibe Econometrics and the Analysis Contract
by: Ashton, Lydia
Published: (2026)

Reinforcement Learning Measurement Model
by: Xu, Wenqian, et al.
Published: (2026)

StanBKT: Rethinking Parameter Estimation in Bayesian Knowledge Tracing
by: Pradhan, Siddhartha, et al.
Published: (2026)

Loop Polarity Analysis to Avoid Underspecification in Deep Learning
by: Martin, Jr., Donald, et al.
Published: (2023)

The impact of the COVID-19 pandemic on daily rhythms
by: Luong, Nguyen, et al.
Published: (2023)

From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning
by: Yan, Lixiang, et al.
Published: (2024)

Position: Insights from Survey Methodology can Improve Training Data
by: Eckman, Stephanie, et al.
Published: (2024)

Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector
by: Fischer-Abaigar, Unai, et al.
Published: (2023)

Designing Decision Support Systems Using Counterfactual Prediction Sets
by: Straitouri, Eleni, et al.
Published: (2023)

Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
by: Straitouri, Eleni, et al.
Published: (2024)

Exploring the Boundaries of Ambient Awareness in Twitter
by: Sanchez-Martin, Pablo, et al.
Published: (2024)

Power Analysis is Essential: High-Powered Tests Suggest Minimal to No Effect of Rounded Shapes on Click-Through Rates
by: Kohavi, Ron, et al.
Published: (2025)

Visual Analysis of Multi-outcome Causal Graphs
by: Fan, Mengjie, et al.
Published: (2024)

Causal Discovery Should Embrace the Wisdom of the Crowd
by: Lin, Ryan Feng, et al.
Published: (2026)

On Meta-Evaluation
by: Li, Hongxiao, et al.
Published: (2025)

Imputation Matters: A Deeper Look into an Overlooked Step in Longitudinal Health and Behavior Sensing Research
by: Choube, Akshat, et al.
Published: (2024)

Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest
by: Schoeffer, Jakob, et al.
Published: (2025)

Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content
by: Cen, Sarah H., et al.
Published: (2024)

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
by: Kıcıman, Emre, et al.
Published: (2023)

A Cepstral Model for Efficient Spectral Analysis of Covariate-dependent Time Series
by: Li, Zeda, et al.
Published: (2024)

General Intellectual Humility Is Malleable Through AI-Mediated Reflective Dialogue
by: Mahjabin, Mohammad Ratul, et al.
Published: (2026)

Strategic Adaptation Under Contextual Change: Insights from a Dyadic Negotiation Testbed for AI Coaching Technologies
by: Urmi, Mobasshira Akter, et al.
Published: (2026)

Managing the unexpected: Operator behavioural data and its value in predicting correct alarm responses
by: Amazu, Chidera W., et al.
Published: (2025)

VisiTrail: A Cognitive Visualization Tool for Time-Series Analysis of Eye Tracking Data from Attention Game
by: Rehman, Abdul, et al.
Published: (2025)

CitySolution: A complaining task distributive mobile application for smart city corporation using deep learning
by: Shama, Farhatun, et al.
Published: (2024)

Mental Well-being Opportunities in Interacting and Reflecting with Personal Data Sculptures of EEG
by: Ortoleva, Maria Teresa, et al.
Published: (2024)

Visualizing Historical Book Trade Data: An Iterative Design Study with Close Collaboration with Domain Experts
by: Xing, Yiwen, et al.
Published: (2023)

Exploring the potential of AI in nurturing learner empathy, prosocial values and environmental stewardship
by: Lim, Kenneth Y T, et al.
Published: (2024)

Towards a Supporting Framework for Neuro-Developmental Disorder: Considering Artificial Intelligence, Serious Games and Eye Tracking
by: Rehman, Abdul, et al.
Published: (2025)