:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Baharav, Carmel, Flanigan, Bailey
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.15009
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions
by: Baharav, Carmel, et al.
Published: (2026)

Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies
by: Assos, Angelos, et al.
Published: (2025)

Near-Optimal Dropout-Robust Sortition
by: Gambhir, Maya Pal, et al.
Published: (2025)

Strategic Candidacy in Generative AI Arenas
by: Hays, Chris, et al.
Published: (2026)

The Good, the Bad, and the Sampled: a No-Regret Approach to Safe Online Classification
by: Baharav, Tavor Z., et al.
Published: (2025)

Democratic Preference Alignment via Sortition-Weighted RLHF
by: Sana, Suvadip, et al.
Published: (2026)

Future Language Modeling from Temporal Document History
by: Li, Changmao, et al.
Published: (2024)

Condorcet Winners and Anscombes Paradox Under Weighted Binary Voting
by: Baharav, Carmel, et al.
Published: (2025)

State-of-the-Art Review: The Use of Digital Twins to Support Artificial Intelligence-Guided Predictive Maintenance
by: Ma, Sizhe, et al.
Published: (2024)

A New Approach Towards Autoformalization
by: Patel, Nilay, et al.
Published: (2023)

RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
by: Li, Changmao, et al.
Published: (2024)

State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies
by: Ma, Sizhe, et al.
Published: (2023)

Monitoring Robustness and Individual Fairness
by: Gupta, Ashutosh, et al.
Published: (2025)

Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems
by: Yuan, Chih-Cheng Rex, et al.
Published: (2024)

Large Language Model Unlearning via Embedding-Corrupted Prompts
by: Liu, Chris Yuhao, et al.
Published: (2024)

On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
by: Giner-Miguelez, Joan, et al.
Published: (2024)

Digital Twin Technologies in Predictive Maintenance: Enabling Transferability via Sim-to-Real and Real-to-Sim Transfer
by: Ma, Sizhe, et al.
Published: (2025)

Temporal Interception and Present Reconstruction: A Cognitive-Signal Model for Human and AI Decision Making
by: A, Carmel Mary Esther
Published: (2025)

TRUST: Transparent, Robust and Ultra-Sparse Trees
by: Dorador, Albert
Published: (2025)

FairPO: Robust Preference Optimization for Fair Multi-Label Learning
by: Mondal, Soumen Kumar, et al.
Published: (2025)

Vision-based Manipulation of Transparent Plastic Bags in Industrial Setups
by: Adetunji, F., et al.
Published: (2024)

Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks
by: Saleh, Mohammad, et al.
Published: (2025)

Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making
by: Cimpean, Alexandra, et al.
Published: (2025)

Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation
by: Lv, Xinpeng, et al.
Published: (2026)

Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout
by: Fiscko, Carmel, et al.
Published: (2023)

TransDex: Pre-training Visuo-Tactile Policy with Point Cloud Reconstruction for Dexterous Manipulation of Transparent Objects
by: Li, Fengguan, et al.
Published: (2026)

Test-Time Fairness and Robustness in Large Language Models
by: Cotta, Leonardo, et al.
Published: (2024)

On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
by: Zhu, Shengkun, et al.
Published: (2024)

Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding
by: Shabalin, Carmel, et al.
Published: (2024)

DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation
by: Tian, Yiqi, et al.
Published: (2026)

Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation
by: Sleiman, Jean-Pierre, et al.
Published: (2024)

RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation
by: Vats, Shivam, et al.
Published: (2024)

Tenma: Robust Cross-Embodiment Robot Manipulation with Diffusion Transformer
by: Davies, Travis, et al.
Published: (2025)

Improving Robotic Manipulation Robustness via NICE Scene Surgery
by: Pakdamansavoji, Sajjad, et al.
Published: (2025)

Humanizing AI Grading: Student-Centered Insights on Fairness, Trust, Consistency and Transparency
by: Riahi, Bahare, et al.
Published: (2026)

FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models
by: Jung, Dahyun, et al.
Published: (2025)

GF-Score: Certified Class-Conditional Robustness Evaluation with Fairness Guarantees
by: Shah, Arya, et al.
Published: (2026)

When Absolute State Fails: Evaluating Proprioceptive Encodings for Robust Manipulation
by: Alvarez, Maxime, et al.
Published: (2026)

Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
by: Yamabe, Shojiro, et al.
Published: (2024)

"Taking Stock at FAccT": Using Participatory Design to Co-Create a Vision for the Fairness, Accountability and Transparency Community
by: Dudy, Shiran, et al.
Published: (2026)