Hoda Heidari

113 papers A* 27B 2C 3Journal 63Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond the Single Turn: Reframing Refusals as Dynamic Experiences Embedded in the Context of Mental Health Support Interactions with LLMs.
CoRR
Ningjing Tang, Alice Qian, Qiaosi Wang, Esther Howe, Blake Bullwinkel, Paola Pedrelli, Jina Suh, Hoda Heidari, Hong Shen
2026 A* conf
Moral Change or Noise? On Problems of Aligning AI with Temporally Unstable Human Feedback.
AAAI
Vijay Keswani, Cyrus Cousins, Breanna K. Nguyen, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2026 A* conf
Navigating Uncertainties: How GenAI Developers Document Their Models on Open-Source Platforms.
CHI
Ningjing Tang, Megan Li, Amy A. Winecoff, Michael Madaio, Hoda Heidari, Hong Shen
2026 J jnl
Toward Third-Party Assurance of AI Systems: Design Requirements, Prototype, and Early Testing.
CoRR
Rachel M. Kim, Blaine Kuehnert, Alice Lai, Kenneth Holstein, Hoda Heidari, Rayid Ghani
2026 — conf
Workshop on Developing Standards and Documentation For LLM Use as Simulated Research Participants.
CHI Extended Abstracts
William Agnew, Shivani Kapania, Hope Schroeder, Marianne Aubin Le Quéré, Sarah E. Fox, Hoda Heidari
2025 J jnl
A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents.
CoRR
Megan Li, Wendy Bickersteth, Ningjing Tang, Jason I. Hong, Lorrie Cranor, Hong Shen, Hoda Heidari
2025 J jnl
A Formal Model of the Economic Impacts of AI Openness Regulation.
CoRR
Tori Qiu, Benjamin Laufer, Jon M. Kleinberg, Hoda Heidari
2025 J jnl
Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions.
CoRR
Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong, Breanna K. Nguyen, Hoda Heidari, Jana Schaich Borg
2025 A* conf
Can AI Model the Complexities of Human Moral Decision-making? A Qualitative Study of Kidney Allocation Decisions.
CHI
Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong, Breanna K. Nguyen, Hoda Heidari, Jana Schaich Borg
2025 J jnl
Designing Algorithmic Delegates: The Role of Indistinguishability in Human-AI Handoff.
CoRR
Sophie Greenwood, Karen Levy, Solon Barocas, Hoda Heidari, Jon M. Kleinberg
2025 A* conf
Designing Algorithmic Delegates: the Role of Indistinguishability in Human-AI Handoff.
EC
Sophie Greenwood, Karen Levy, Solon Barocas, Hoda Heidari, Jon M. Kleinberg
2025 B conf
Facilitating Human-AI Coordination through Computational Theory of Mind.
CogSci
Roderick Seow, Hoda Heidari, Cleotilde Gonzalez
2025 J jnl
From Firewalls to Frontiers: AI Red-Teaming is a Domain-Specific Evolution of Cyber Red-Teaming.
CoRR
Anusha Sinha, Keltin Grimes, James Lucassen, Michael Feffer, Nathan M. VanHoudnos, Zhiwei Steven Wu, Hoda Heidari
2025 J jnl
International AI Safety Report.
CoRR
Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Philip Fox, Ben Garfinkel, Danielle Goldfarb, Hoda Heidari, Anson Ho, Sayash Kapoor, Leila Khalatbari, Shayne Longpre, Sam Manning, Vasilios Mavroudis, Mantas Mazeika, Julian Michael, Jessica Newman, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Girish Sastry, Elizabeth Seger, Theodora Skeadas, Tobin South, Emma Strubell, Florian Tramèr, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng
2025 — conf
Legacy Procurement Practices Shape How U.S. Cities Govern AI: Understanding Government Employees' Practices, Challenges, and Needs.
FAccT
Nari Johnson, Elise Silva, Harrison Leon, Motahhare Eslami, Beth Schwanke, Ravit Dotan, Hoda Heidari
2025 J jnl
Moral Change or Noise? On Problems of Aligning AI With Temporally Unstable Human Feedback.
CoRR
Vijay Keswani, Cyrus Cousins, Breanna K. Nguyen, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2025 J jnl
Navigating Uncertainties: Understanding How GenAI Developers Document Their Models on Open-Source Platforms.
CoRR
Ningjing Tang, Megan Li, Amy A. Winecoff, Michael Madaio, Hoda Heidari, Hong Shen
2025 A* conf
Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles.
EMNLP
Kimberly Le Truong, Riccardo Fogliato, Hoda Heidari, Steven Wu
2025 J jnl
Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles.
CoRR
Kimberly Le Truong, Riccardo Fogliato, Hoda Heidari, Zhiwei Steven Wu
2025 A* conf
Simulacrum of Stories: Examining Large Language Models as Qualitative Research Participants.
CHI
Shivani Kapania, William Agnew, Motahhare Eslami, Hoda Heidari, Sarah E. Fox
2025 — conf
The "Who", "What", and "How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools.
FAccT
Blaine Kuehnert, Rachel M. Kim, Jodi Forlizzi, Hoda Heidari
2025 J jnl
The "Who", "What", and "How" of Responsible AI Governance: A Systematic Review and Meta-Analysis of (Actor, Stage)-Specific Tools.
CoRR
Blaine Kuehnert, Rachel M. Kim, Jodi Forlizzi, Hoda Heidari
2025 — conf
The Backfiring Effect of Weak AI Safety Regulation.
EAAMO
Benjamin Laufer, Jon M. Kleinberg, Hoda Heidari
2025 J jnl
The Backfiring Effect of Weak AI Safety Regulation.
CoRR
Benjamin Laufer, Jon M. Kleinberg, Hoda Heidari
2025 J jnl
Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances.
CoRR
Kimberly Le Truong, Annette Zimmermann, Hoda Heidari
2025 J jnl
Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment.
CoRR
Cyrus Cousins, Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2025 J jnl
Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption.
CoRR
Rebecca Yu, Valerie Chen, Ameet Talwalkar, Hoda Heidari
2024 J jnl
'Simulacrum of Stories': Examining Large Language Models as Qualitative Research Participants.
CoRR
Shivani Kapania, William Agnew, Motahhare Eslami, Hoda Heidari, Sarah E. Fox
2024 J jnl
A Comparison of the Analysis of Methods for Feature Extraction and Classification in SSVEP BCIs.
SN Comput. Sci.
Hoda Heidari, Zahra Einalou, Mehrdad Dadgostar, Hamidreza Hosseinzadeh, Leila Kalhor
2024 — conf
AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services.
FAccT
Ningjing Tang, Jiayin Zhi, Tzu-Sheng Kuo, Calla Kainaroi, Jeremy J. Northup, Kenneth Holstein, Haiyi Zhu, Hoda Heidari, Hong Shen
2024 J jnl
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures Through AI Systems.
Minds Mach.
Alex John London, Hoda Heidari
2024 A* conf
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models.
WWW
Benjamin Laufer, Jon M. Kleinberg, Hoda Heidari
2024 J jnl
International Scientific Report on the Safety of Advanced AI (Interim Report).
CoRR
Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Danielle Goldfarb, Hoda Heidari, Leila Khalatbari, Shayne Longpre, Vasilios Mavroudis, Mantas Mazeika, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Theodora Skeadas, Florian Tramèr, Bayo Adekanmbi, Paul F. Christiano, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Nick R. Jennings, Andreas Krause, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Arvind Narayanan, Alondra Nelson, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang
2024 — conf
On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods.
AIES (1)
Kyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari, Walter Sinnott-Armstrong
2024 J jnl
On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods.
CoRR
Kyle Boerstler, Vijay Keswani, Lok Chan, Jana Schaich Borg, Vincent Conitzer, Hoda Heidari, Walter Sinnott-Armstrong
2024 — conf
On the Pros and Cons of Active Learning for Moral Preference Elicitation.
AIES (1)
Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2024 J jnl
On the Pros and Cons of Active Learning for Moral Preference Elicitation.
CoRR
Vijay Keswani, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2024 J jnl
Public Procurement for Responsible AI? Understanding U.S. Cities' Practices, Challenges, and Needs.
CoRR
Nari Johnson, Elise Silva, Harrison Leon, Motahhare Eslami, Beth Schwanke, Ravit Dotan, Hoda Heidari
2024 J jnl
RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization.
ACM J. Comput. Sustain. Soc.
Mateo Dulce Rubio, Siqi Zeng, Qi Wang, Didier Alvarado, Francisco Moreno Rivera, Hoda Heidari, Fei Fang
2024 — conf
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
AIES (1)
Michael Feffer, Anusha Sinha, Wesley H. Deng, Zachary C. Lipton, Hoda Heidari
2024 J jnl
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
CoRR
Michael Feffer, Anusha Sinha, Zachary C. Lipton, Hoda Heidari
2024 J jnl
Rethinking Distance Metrics for Counterfactual Explainability.
CoRR
Joshua Nathaniel Williams, Anurag Katakkar, Hoda Heidari, J. Zico Kolter
2024 J jnl
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use.
CoRR
Anna Kawakami, Amanda Coston, Hoda Heidari, Kenneth Holstein, Haiyi Zhu
2024 J jnl
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use.
Proc. ACM Hum. Comput. Interact.
Anna Kawakami, Amanda Coston, Hoda Heidari, Kenneth Holstein, Haiyi Zhu
2024 — conf
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment.
FAccT
Nari Johnson, Sanika Moharana, Christina N. Harrington, Nazanin Andalibi, Hoda Heidari, Motahhare Eslami
2024 J jnl
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment.
CoRR
Nari Johnson, Sanika Moharana, Christina N. Harrington, Nazanin Andalibi, Hoda Heidari, Motahhare Eslami
2024 J jnl
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals.
CoRR
Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein
2024 A* conf
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals.
CHI
Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein
2023 — conf
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms.
SaTML
Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari
2023 J jnl
Assessing AI Impact Assessments: A Classroom Study.
CoRR
Nari Johnson, Hoda Heidari
2023 J jnl
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systems.
CoRR
Alex John London, Hoda Heidari
2023 J jnl
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models.
CoRR
Benjamin Laufer, Jon M. Kleinberg, Hoda Heidari
2023 C conf
From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research.
AIES
Michael Feffer, Michael Skirpan, Zachary C. Lipton, Hoda Heidari
2023 — conf
Informational Diversity and Affinity Bias in Team Growth Dynamics.
EAAMO
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
2023 J jnl
Informational Diversity and Affinity Bias in Team Growth Dynamics.
CoRR
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
2023 A* conf
Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations.
AAAI
Violet Xinying Chen, Joshua Williams, Derek Leben, Hoda Heidari
2023 A* conf
Moral Machine or Tyranny of the Majority?
AAAI
Michael Feffer, Hoda Heidari, Zachary C. Lipton
2023 J jnl
Moral Machine or Tyranny of the Majority?
CoRR
Michael Feffer, Hoda Heidari, Zachary C. Lipton
2023 J jnl
Perspectives on incorporating expert feedback into model updates.
Patterns
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
2023 J jnl
RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization.
CoRR
Mateo Dulce Rubio, Siqi Zeng, Qi Wang, Didier Alvarado, Francisco Moreno Rivera, Hoda Heidari, Fei Fang
2023 J jnl
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design.
CoRR
Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein
2023 — conf
The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements.
EAAMO
Michael Feffer, Nikolas Martelaro, Hoda Heidari
2023 J jnl
The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements.
CoRR
Michael Feffer, Nikolas Martelaro, Hoda Heidari
2023 — conf
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools.
EAAMO
Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari
2023 J jnl
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools.
CoRR
Emily Black, Rakshit Naidu, Rayid Ghani, Kit T. Rodolfa, Daniel E. Ho, Hoda Heidari
2022 J jnl
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms.
CoRR
Nil-Jana Akpinar, Manish Nagireddy, Logan Stapleton, Hao Fei Cheng, Haiyi Zhu, Zhiwei Steven Wu, Hoda Heidari
2022 J jnl
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making.
CoRR
Charvi Rastogi, Liu Leqi, Kenneth Holstein, Hoda Heidari
2022 J jnl
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms.
CoRR
Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari
2022 A* conf
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract).
IJCAI
Hoda Heidari, Jon M. Kleinberg
2022 A* conf
Bayesian Persuasion for Algorithmic Recourse.
NeurIPS
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
2022 — conf
Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects.
FAccT
Benjamin Laufer, Sameer Jain, A. Feder Cooper, Jon M. Kleinberg, Hoda Heidari
2022 J jnl
Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects.
CoRR
Benjamin Laufer, Sameer Jain, A. Feder Cooper, Jon M. Kleinberg, Hoda Heidari
2022 J jnl
On modeling human perceptions of allocation policies with uncertain outcomes.
SIGecom Exch.
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
2022 J jnl
Perspectives on Incorporating Expert Feedback into Model Updates.
CoRR
Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
2022 A* conf
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses.
ICML
Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Steven Wu
2021 C conf
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness.
AIES
Mohammad Yaghini, Andreas Krause, Hoda Heidari
2021 A* conf
Addressing the Long-term Impact of ML Decisions via Policy Regret.
IJCAI
David Lindner, Hoda Heidari, Andreas Krause
2021 J jnl
Addressing the Long-term Impact of ML Decisions via Policy Regret.
CoRR
David Lindner, Hoda Heidari, Andreas Krause
2021 — conf
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility.
FAccT
Hoda Heidari, Jon M. Kleinberg
2021 J jnl
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility.
CoRR
Hoda Heidari, Jon M. Kleinberg
2021 J jnl
Bayesian Persuasion for Algorithmic Recourse.
CoRR
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
2021 C conf
Fair Equality of Chances for Prediction-based Decisions.
AIES
Michele Loi, Anders Herlitz, Hoda Heidari
2021 A* conf
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes.
EC
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
2021 J jnl
On Modeling Human Perceptions of Allocation Policies with Uncertain Outcomes.
CoRR
Hoda Heidari, Solon Barocas, Jon M. Kleinberg, Karen Levy
2021 A* conf
Stateful Strategic Regression.
NeurIPS
Keegan Harris, Hoda Heidari, Zhiwei Steven Wu
2021 J jnl
Stateful Strategic Regression.
CoRR
Keegan Harris, Hoda Heidari, Zhiwei Steven Wu
2021 J jnl
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses.
CoRR
Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Zhiwei Steven Wu
2020 J jnl
On the Desiderata for Online Altruism: Nudging for Equitable Donations.
Proc. ACM Hum. Comput. Interact.
Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
2019 J jnl
A Human-in-the-loop Framework to Construct Context-dependent Mathematical Formulations of Fairness.
CoRR
Mohammad Yaghini, Hoda Heidari, Andreas Krause
2019 — conf
A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity.
FAT
Hoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause
2019 J jnl
Competitive contagion in networks.
Games Econ. Behav.
Sanjeev Goyal, Hoda Heidari, Michael J. Kearns
2019 — conf
Economic Theories of Distributive Justice for Fair Machine Learning.
WWW (Companion Volume)
Krishna P. Gummadi, Hoda Heidari
2019 A* conf
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning.
KDD
Megha Srivastava, Hoda Heidari, Andreas Krause
2019 J jnl
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning.
CoRR
Megha Srivastava, Hoda Heidari, Andreas Krause
2019 A* conf
On the Impact of Choice Architectures on Inequality in Online Donation Platforms.
WWW
Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
2019 A* conf
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning.
ICML
Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
2019 J jnl
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning.
CoRR
Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
2018 J jnl
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity.
CoRR
Hoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause
2018 J jnl
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices.
CoRR
Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
2018 A* conf
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices.
KDD
Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar
2018 A* conf
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making.
NeurIPS
Hoda Heidari, Claudio Ferrari, Krishna P. Gummadi, Andreas Krause
2018 J jnl
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making.
CoRR
Hoda Heidari, Claudio Ferrari, Krishna P. Gummadi, Andreas Krause
2018 J jnl
Integrating Market Makers, Limit Orders, and Continuous Trade in Prediction Markets.
ACM Trans. Economics and Comput.
Hoda Heidari, Sébastien Lahaie, David M. Pennock, Jennifer Wortman Vaughan
2018 A* conf
Preventing Disparate Treatment in Sequential Decision Making.
IJCAI
Hoda Heidari, Andreas Krause
2017 J jnl
A Convex Framework for Fair Regression.
CoRR
Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth
2017 J jnl
A General Framework for Evaluating Callout Mechanisms in Repeated Auctions.
CoRR
Hossein Azari, William D. Heavlin, Hoda Heidari, Max Lin, Sonia Todorova
2016 A* conf
Pricing a Low-regret Seller.
ICML
Hoda Heidari, Mohammad Mahdian, Umar Syed, Sergei Vassilvitskii, Sadra Yazdanbod
2016 A* conf
Tight Policy Regret Bounds for Improving and Decaying Bandits.
IJCAI
Hoda Heidari, Michael J. Kearns, Aaron Roth
2015 A* conf
Integrating Market Makers, Limit Orders, and Continuous Trade in Prediction Markets.
EC
Hoda Heidari, Sébastien Lahaie, David M. Pennock, Jennifer Wortman Vaughan
2014 A* conf
Learning from Contagion (Without Timestamps).
ICML
Kareem Amin, Hoda Heidari, Michael J. Kearns
2014 A* conf
New Models for Competitive Contagion.
AAAI
Moez Draief, Hoda Heidari, Michael J. Kearns
2013 B conf
Depth-Workload Tradeoffs for Workforce Organization.
HCOMP
Hoda Heidari, Michael J. Kearns
2011 — conf
Toward optimal vaccination strategies for probabilistic models.
WWW (Companion Volume)
Zeinab Abbassi, Hoda Heidari