Toward optimal vaccination strategies for probabilistic models. - Zeinab Abbassi; Hoda Heidari (WWW (Companion Volume), 2011)

Depth-Workload Tradeoffs for Workforce Organization. - Hoda Heidari; Michael J. Kearns (HCOMP, 2013)

New Models for Competitive Contagion. - Moez Draief; Hoda Heidari; Michael J. Kearns (AAAI, 2014)

Learning from Contagion (Without Timestamps). - Kareem Amin 002; Hoda Heidari; Michael J. Kearns (ICML, 2014)

Pricing a Low-regret Seller. - Hoda Heidari; Mohammad Mahdian; Umar Syed; Sergei Vassilvitskii; Sadra Yazdanbod (ICML, 2016)

Tight Policy Regret Bounds for Improving and Decaying Bandits. - Hoda Heidari; Michael J. Kearns; Aaron Roth 001 (IJCAI, 2016)

A General Framework for Evaluating Callout Mechanisms in Repeated Auctions. - Hossein Azari; William D. Heavlin; Hoda Heidari; Max Lin; Sonia Todorova (CoRR, 2017)

A Convex Framework for Fair Regression. - Richard Berk; Hoda Heidari; Shahin Jabbari; Matthew Joseph; Michael J. Kearns; Jamie Morgenstern; Seth Neel; Aaron Roth 001 (CoRR, 2017)

Preventing Disparate Treatment in Sequential Decision Making. - Hoda Heidari; Andreas Krause 001 (IJCAI, 2018)

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. - Till Speicher; Hoda Heidari; Nina Grgic-Hlaca; Krishna P. Gummadi; Adish Singla; Adrian Weller; Muhammad Bilal Zafar (KDD, 2018)

Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making. - Hoda Heidari; Claudio Ferrari; Krishna P. Gummadi; Andreas Krause 001 (NeurIPS, 2018)

Integrating Market Makers, Limit Orders, and Continuous Trade in Prediction Markets. - Hoda Heidari; Sébastien Lahaie; David M. Pennock; Jennifer Wortman Vaughan (ACM Trans. Economics and Comput., 2018)

A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity. - Hoda Heidari; Michele Loi; Krishna P. Gummadi; Andreas Krause 001 (FAT, 2019)

On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning. - Hoda Heidari; Vedant Nanda; Krishna P. Gummadi (ICML, 2019)

Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. - Megha Srivastava; Hoda Heidari; Andreas Krause 001 (KDD, 2019)

On the Impact of Choice Architectures on Inequality in Online Donation Platforms. - Abhijnan Chakraborty; Nuno Mota; Asia J. Biega; Krishna P. Gummadi; Hoda Heidari (WWW, 2019)

Economic Theories of Distributive Justice for Fair Machine Learning. - Krishna P. Gummadi; Hoda Heidari (WWW (Companion Volume), 2019)

A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness. - Mohammad Yaghini; Hoda Heidari; Andreas Krause 001 (CoRR, 2019)

Competitive contagion in networks. - Sanjeev Goyal; Hoda Heidari; Michael J. Kearns (Games Econ. Behav., 2019)

On the Desiderata for Online Altruism: Nudging for Equitable Donations. - Nuno Mota; Abhijnan Chakraborty; Asia J. Biega; Krishna P. Gummadi; Hoda Heidari (Proc. ACM Hum. Comput. Interact., 2020)

Fair Equality of Chances for Prediction-based Decisions. - Michele Loi; Anders Herlitz; Hoda Heidari (AIES, 2021)

A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness. - Mohammad Yaghini; Andreas Krause 001; Hoda Heidari (AIES, 2021)

Allocating Opportunities in a Dynamic Model of Intergenerational Mobility. - Hoda Heidari; Jon M. Kleinberg (FAccT, 2021)

Addressing the Long-term Impact of ML Decisions via Policy Regret. - David Lindner; Hoda Heidari; Andreas Krause 001 (IJCAI, 2021)

Stateful Strategic Regression. - Keegan Harris; Hoda Heidari; Zhiwei Steven Wu (NeurIPS, 2021)

Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects. - Benjamin Laufer; Sameer Jain; A. Feder Cooper; Jon M. Kleinberg; Hoda Heidari (FAccT, 2022)

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses. - Keegan Harris; Dung Daniel T. Ngo; Logan Stapleton; Hoda Heidari; Steven Wu 001 (ICML, 2022)

Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract). - Hoda Heidari; Jon M. Kleinberg (IJCAI, 2022)

Bayesian Persuasion for Algorithmic Recourse. - Keegan Harris; Valerie Chen; Joon Sik Kim; Ameet Talwalkar; Hoda Heidari; Zhiwei Steven Wu (NeurIPS, 2022)

A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms. - Nil-Jana Akpinar; Manish Nagireddy; Logan Stapleton; Hao Fei Cheng; Haiyi Zhu; Zhiwei Steven Wu; Hoda Heidari (CoRR, 2022)

A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making. - Charvi Rastogi; Liu Leqi; Kenneth Holstein; Hoda Heidari (CoRR, 2022)

On modeling human perceptions of allocation policies with uncertain outcomes. - Hoda Heidari; Solon Barocas; Jon M. Kleinberg; Karen Levy (SIGecom Exch., 2022)

Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations. - Violet Xinying Chen; Joshua Williams; Derek Leben; Hoda Heidari (AAAI, 2023)

Moral Machine or Tyranny of the Majority? - Michael Feffer; Hoda Heidari; Zachary C. Lipton (AAAI, 2023)

From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research. - Michael Feffer; Michael Skirpan; Zachary C. Lipton; Hoda Heidari (AIES, 2023)

Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools. - Emily Black; Rakshit Naidu; Rayid Ghani; Kit T. Rodolfa; Daniel E. Ho; Hoda Heidari (EAAMO, 2023)

The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements. - Michael Feffer; Nikolas Martelaro; Hoda Heidari (EAAMO, 2023)

Informational Diversity and Affinity Bias in Team Growth Dynamics. - Hoda Heidari; Solon Barocas; Jon M. Kleinberg; Karen Levy (EAAMO, 2023)

A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms. - Amanda Coston; Anna Kawakami; Haiyi Zhu; Ken Holstein; Hoda Heidari (SaTML, 2023)

Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design. - Anna Kawakami; Amanda Coston; Haiyi Zhu; Hoda Heidari; Kenneth Holstein (CoRR, 2023)

Assessing AI Impact Assessments: A Classroom Study. - Nari Johnson; Hoda Heidari (CoRR, 2023)

Perspectives on incorporating expert feedback into model updates. - Valerie Chen; Umang Bhatt; Hoda Heidari; Adrian Weller; Ameet Talwalkar (Patterns, 2023)

On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods. - Kyle Boerstler; Vijay Keswani; Lok Chan; Jana Schaich Borg; Vincent Conitzer; Hoda Heidari; Walter Sinnott-Armstrong (AIES (1), 2024)

Red-Teaming for Generative AI: Silver Bullet or Security Theater? - Michael Feffer; Anusha Sinha; Wesley H. Deng; Zachary C. Lipton; Hoda Heidari (AIES (1), 2024)

On the Pros and Cons of Active Learning for Moral Preference Elicitation. - Vijay Keswani; Vincent Conitzer; Hoda Heidari; Jana Schaich Borg; Walter Sinnott-Armstrong (AIES (1), 2024)

The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals. - Anna Kawakami; Amanda Coston; Haiyi Zhu; Hoda Heidari; Kenneth Holstein (CHI, 2024)

The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment. - Nari Johnson; Sanika Moharana; Christina N. Harrington; Nazanin Andalibi; Hoda Heidari; Motahhare Eslami (FAccT, 2024)

AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services. - Ningjing Tang; Jiayin Zhi; Tzu-Sheng Kuo; Calla Kainaroi; Jeremy J. Northup; Kenneth Holstein; Haiyi Zhu; Hoda Heidari; Hong Shen 004 (FAccT, 2024)

Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models. - Benjamin Laufer; Jon M. Kleinberg; Hoda Heidari (WWW, 2024)

RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization. - Mateo Dulce Rubio; Siqi Zeng 001; Qi Wang; Didier Alvarado; Francisco Moreno Rivera; Hoda Heidari; Fei Fang 001 (ACM J. Comput. Sustain. Soc., 2024)

Red-Teaming for Generative AI: Silver Bullet or Security Theater? - Michael Feffer; Anusha Sinha; Zachary C. Lipton; Hoda Heidari (CoRR, 2024)

Rethinking Distance Metrics for Counterfactual Explainability. - Joshua Nathaniel Williams; Anurag Katakkar; Hoda Heidari; J. Zico Kolter (CoRR, 2024)

Public Procurement for Responsible AI? Understanding U.S. Cities' Practices, Challenges, and Needs. - Nari Johnson; Elise Silva; Harrison Leon; Motahhare Eslami; Beth Schwanke; Ravit Dotan; Hoda Heidari (CoRR, 2024)

International Scientific Report on the Safety of Advanced AI (Interim Report). - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Danielle Goldfarb; Hoda Heidari; Leila Khalatbari; Shayne Longpre; Vasilios Mavroudis; et al. (CoRR, 2024)

Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use. - Anna Kawakami; Amanda Coston; Hoda Heidari; Kenneth Holstein; Haiyi Zhu (Proc. ACM Hum. Comput. Interact., 2024)

A Comparison of the Analysis of Methods for Feature Extraction and Classification in SSVEP BCIs. - Hoda Heidari; Zahra Einalou; Mehrdad Dadgostar; Hamidreza Hosseinzadeh; Leila Kalhor (SN Comput. Sci., 2024)

Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures Through AI Systems. - Alex John London; Hoda Heidari (Minds Mach., 2024)

Simulacrum of Stories: Examining Large Language Models as Qualitative Research Participants. - Shivani Kapania; William Agnew; Motahhare Eslami; Hoda Heidari; Sarah E. Fox (CHI, 2025)

Can AI Model the Complexities of Human Moral Decision-making? A Qualitative Study of Kidney Allocation Decisions. - Vijay Keswani; Vincent Conitzer; Walter Sinnott-Armstrong; Breanna K. Nguyen; Hoda Heidari; Jana Schaich Borg (CHI, 2025)

Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs. - Nari Johnson; Elise Silva; Harrison Leon; Motahhare Eslami; Beth Schwanke; Ravit Dotan; Hoda Heidari (FAccT, 2025)

The "Who", "What", and "How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools. - Blaine Kuehnert; Rachel M. Kim; Jodi Forlizzi; Hoda Heidari (FAccT, 2025)

Designing Algorithmic Delegates: the Role of Indistinguishability in Human-AI Handoff. - Sophie Greenwood; Karen Levy; Solon Barocas; Hoda Heidari; Jon M. Kleinberg (EC, 2025)

International AI Safety Report. - Yoshua Bengio; Sören Mindermann; Daniel Privitera; Tamay Besiroglu; Rishi Bommasani; Stephen Casper; Yejin Choi 001; Philip Fox; Ben Garfinkel; Danielle Goldfarb; Hoda Heidari; Anson Ho; et al. (CoRR, 2025)

The Backfiring Effect of Weak AI Safety Regulation. - Benjamin Laufer; Jon M. Kleinberg; Hoda Heidari (CoRR, 2025)

Navigating Uncertainties: Understanding How GenAI Developers Document Their Models on Open-Source Platforms. - Ningjing Tang; Megan Li; Amy A. Winecoff; Michael Madaio; Hoda Heidari; Hong Shen 004 (CoRR, 2025)

A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents. - Megan Li; Wendy Bickersteth; Ningjing Tang; Jason I. Hong; Lorrie Cranor; Hong Shen 004; Hoda Heidari (CoRR, 2025)

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances. - Kimberly Le Truong; Annette Zimmermann; Hoda Heidari (CoRR, 2025)

A Formal Model of the Economic Impacts of AI Openness Regulation. - Tori Qiu; Benjamin Laufer; Jon M. Kleinberg; Hoda Heidari (CoRR, 2025)

Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles. - Kimberly Le Truong; Riccardo Fogliato; Hoda Heidari; Zhiwei Steven Wu (CoRR, 2025)

Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption. - Rebecca Yu; Valerie Chen; Ameet Talwalkar; Hoda Heidari (CoRR, 2025)