:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cheng, Chen, Asi, Hilal, Duchi, John
Format:	Preprint
Published:	2022
Subjects:	Statistics Theory Human-Computer Interaction Machine Learning
Online Access:	https://arxiv.org/abs/2206.12041
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Privately Estimating a Single Parameter
by: Asi, Hilal, et al.
Published: (2025)

Principled Reinforcement Learning with Human Feedback from Pairwise or $K$-wise Comparisons
by: Zhu, Banghua, et al.
Published: (2023)

Some Robustness Properties of Label Cleaning
by: Cheng, Chen, et al.
Published: (2025)

Distribution free M-estimation
by: Areces, Felipe, et al.
Published: (2025)

A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
by: Sonntag, Daniel, et al.
Published: (2024)

To impute or not to impute: How machine learning modelers treat missing data
by: Chen, Wanyi, et al.
Published: (2025)

Fast and Adaptive Questionnaires for Voting Advice Applications
by: Bachmann, Fynn, et al.
Published: (2024)

Banking on Feedback: Text Analysis of Mobile Banking iOS and Google App Reviews
by: Amirkhalili, Yekta, et al.
Published: (2025)

How to Strategize Human Content Creation in the Era of GenAI?
by: Esmaeili, Seyed A., et al.
Published: (2024)

Human-aligned Quantification of Numerical Data
by: Kolonin, Anton
Published: (2025)

The Duet of Representations and How Explanations Exacerbate It
by: Wan, Charles, et al.
Published: (2024)

A Learning Algorithm That Attains the Human Optimum in a Repeated Human-Machine Interaction Game
by: Isa, Jason T., et al.
Published: (2025)

Processes Matter: How ML/GAI Approaches Could Support Open Qualitative Coding of Online Discourse Datasets
by: Chen, John, et al.
Published: (2025)

Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
by: Beck, Jacob, et al.
Published: (2025)

Strategic Advice in the Age of Personal AI
by: Liu, Yueyang, et al.
Published: (2026)

The Double-Edged Sword of Behavioral Responses in Strategic Classification: Theory and User Studies
by: Ebrahimi, Raman, et al.
Published: (2024)

How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models
by: Park, Unnseo, et al.
Published: (2024)

Adaptive conformal classification with noisy labels
by: Sesia, Matteo, et al.
Published: (2023)

Fair Enough? A map of the current limitations of the requirements to have fair algorithms
by: Regoli, Daniele, et al.
Published: (2023)

Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder Recovery
by: Choi, Ryuhaerang, et al.
Published: (2024)

Improving understanding and trust in AI: How users benefit from interval-based counterfactual explanations
by: Röber, Tabea E., et al.
Published: (2026)

Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
by: Rosenberger, Julian, et al.
Published: (2025)

Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment
by: Mahmoudi-Nejad, Athar, et al.
Published: (2024)

FUnc-SNE: A flexible, Fast, and Unconstrained algorithm for neighbour embeddings
by: Lambert, Pierre, et al.
Published: (2025)

Scalable Exploration via Ensemble++
by: Li, Yingru, et al.
Published: (2024)

Pushing Bistatic Wireless Sensing toward High Accuracy at the Sub-Wavelength Scale
by: Li, Wenwei, et al.
Published: (2026)

Information Plane Analysis Visualization in Deep Learning via Transfer Entropy
by: Moldovan, Adrian, et al.
Published: (2024)

Demystifying CO2: lessons from nutrition labeling and step counting
by: Filipowicz, Alexandre L. S., et al.
Published: (2025)

Algorithmic Feature Highlighting for Human-AI Decision-Making
by: Guo, Yifan, et al.
Published: (2026)

Identity-Free Deferral For Unseen Experts
by: Strong, Joshua, et al.
Published: (2025)

A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings
by: Chen, Chi-Sheng, et al.
Published: (2026)

A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
by: Gong, Jiahui, et al.
Published: (2024)

Active Inference and Human--Computer Interaction
by: Murray-Smith, Roderick, et al.
Published: (2024)

ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems
by: Li, Harry, et al.
Published: (2023)

Predictive Inference in Multi-environment Scenarios
by: Duchi, John C., et al.
Published: (2024)

AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
by: Lim, Galvin Brice S., et al.
Published: (2025)

Cluster Exploration using Informative Manifold Projections
by: Gerolymatos, Stavros, et al.
Published: (2023)

Nirvana AI Governance: How AI Policymaking Is Committing Three Old Fallacies
by: Zhang, Jiawei
Published: (2024)

A Learning-Based Hybrid Decision Framework for Matching Systems with User Departure Detection
by: Zhou, Ruiqi, et al.
Published: (2026)

iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System
by: Jiang, Xiaowei, et al.
Published: (2024)