John Dickerson

According to our database, John Dickerson authored at least 162 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review.

Sahil Verma, Varich Boonsanong, Minh Hoang, Keegan Hines, John Dickerson, Chirag Shah

ACM Comput. Surv., December, 2024

Matching Tasks and Workers under Known Arrival Distributions: Online Task Assignment with Two-sided Arrivals.

John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu, Yifan Xu

ACM Trans. Economics and Comput., June, 2024

A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers.

Alex Stein, Samuel Sharpe, Doron Bergman, Senthil Kumar, C. Bayan Bruss, John Dickerson, Tom Goldstein, Micah Goldblum

CoRR, 2024

Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking.

Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P. Dickerson

CoRR, 2024

Fair Clustering: Critique, Caveats, and Future Directions.

John Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang

CoRR, 2024

Robust Fair Clustering with Group Membership Uncertainty Sets.

Sharmila Duppala, Juan Luque, John Dickerson, Seyed A. Esmaeili

CoRR, 2024

Strategies for Increasing Corporate Responsible AI Prioritization.

Angelina Wang, Teresa Datta, John P. Dickerson

CoRR, 2024

Large language models cannot replace human participants because they cannot portray identity groups.

Angelina Wang, Jamie Morgenstern, John P. Dickerson

CoRR, 2024

Barter Exchange with Shared Item Valuations.

Juan Luque, Sharmila Duppala, John P. Dickerson, Aravind Srinivasan

Proceedings of the ACM on Web Conference 2024, 2024

2023

Matching algorithms for blood donation.

Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson

Nat. Mac. Intell., October, 2023

SIGAI Annual Report: July 1 2022 - August 30 2023.

Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck

AI Matters, September, 2023

Effective Backdoor Mitigation Depends on the Pre-training Objective.

Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes

CoRR, 2023

Doubly Constrained Fair Clustering.

John P. Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang

CoRR, 2023

Artificial Intelligence/Operations Research Workshop 2 Report Out.

John P. Dickerson, Bistra Dilkina, Yu Ding, Swati Gupta, Pascal Van Hentenryck, Sven Koenig, Ramayya Krishnan, Radhika Kulkarni, Catherine Gill, Haley Griffin, Maddy Hunter, Ann Schwartz

CoRR, 2023

Who's Thinking? A Push for Human-Centered Evaluation of LLMs using the XAI Playbook.

Teresa Datta, John P. Dickerson

CoRR, 2023

Neural Auctions Compromise Bidder Information.

Alex Stein, Avi Schwarzschild, Michael J. Curry, Tom Goldstein, John P. Dickerson

CoRR, 2023

Tensions Between the Proxies of Human Values in AI.

Teresa Datta, Daniel Nissani, Max Cembalest, Akash Khanna, Haley Massa, John Dickerson

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks.

Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffused Redundancy in Pre-trained Representations.

Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fair, Polylog-Approximate Low-Cost Hierarchical Clustering.

Marina Knittel, Max Springer, John P. Dickerson, MohammadTaghi Hajiaghayi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition.

Samuel Dooley, Rhea Sukthanker, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Doubly Constrained Fair Clustering.

John P. Dickerson, Seyed A. Esmaeili, Jamie H. Morgenstern, Claire Jie Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting.

Christine Herlihy, Aviva Prins, Aravind Srinivasan, John P. Dickerson

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

User-Driven Support for Visualization Prototyping in D3.

Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, Bissaka Kenah, John P. Dickerson, Leilani Battle

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Group Fairness in Set Packing Problems.

Sharmila Duppala, Juan Luque, John P. Dickerson, Aravind Srinivasan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Differentiable Economics for Randomized Affine Maximizer Auctions.

Michael J. Curry, Tuomas Sandholm, John P. Dickerson

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost.

Marina Knittel, Max Springer, John P. Dickerson, MohammadTaghi Hajiaghayi

Proceedings of the International Conference on Machine Learning, 2023

RecRec: Algorithmic Recourse for Recommender Systems.

Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective.

Avi Schwarzschild, Max Cembalest, Karthik Rao, Keegan Hines, John P. Dickerson

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

A Deep Dive into Dataset Imbalance and Bias in Face Identification.

Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Do Invariances in Deep Neural Networks Align with Human Perception?

Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Networked Restless Bandits with Positive Externalities.

Christine Herlihy, John P. Dickerson

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual.

Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SIGAI Annual Report: July 1 2021 - June 30 2022.

Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck

AI Matters, September, 2022

Targets in Reinforcement Learning to solve Stackelberg Security Games.

Saptarashmi Bandyopadhyay, Chenqi Zhu, Philip Daniel, Joshua Morrison, Ethan Shay, John Dickerson

CoRR, 2022

Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information.

Vishnu Dutt Sharma, John P. Dickerson, Pratap Tokekar

CoRR, 2022

On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition.

Rhea Sukthanker, Samuel Dooley, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum

CoRR, 2022

Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost.

Marina Knittel, John P. Dickerson, MohammadTaghi Hajiaghayi

CoRR, 2022

Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments.

Ryan Sullivan, Justin K. Terry, Benjamin Black, John P. Dickerson

CoRR, 2022

Achieving Downstream Fairness with Geometric Repair.

Kweku Kwegyir-Aggrey, Jessica Dai, John P. Dickerson, Keegan Hines

CoRR, 2022

Using inverse optimization to learn cost functions in generalized Nash games.

Stephanie Allen, Steven A. Gabriel, John P. Dickerson

Comput. Oper. Res., 2022

On the Generalizability and Predictability of Recommender Systems.

Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robustness Disparities in Face Detection.

Samuel Dooley, George Z. Wei, Tom Goldstein, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fair Labeled Clustering.

Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations.

Marina Knittel, Samuel Dooley, John P. Dickerson

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Forecasting Patient Outcomes in Kidney Exchange.

Naveen Durvasula, Aravind Srinivasan, John P. Dickerson

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments.

Ryan Sullivan, Jordan K. Terry, Benjamin Black, John P. Dickerson

Proceedings of the International Conference on Machine Learning, 2022

Measuring Representational Robustness of Neural Networks Through Shared Invariances.

Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller

Proceedings of the International Conference on Machine Learning, 2022

Certified Neural Network Watermarks with Randomized Smoothing.

Arpit Bansal, Ping-Yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, Tom Goldstein

Proceedings of the International Conference on Machine Learning, 2022

Field Evidence of the Effects of Privacy, Data Transparency, and Pro-social Appeals on COVID-19 App Attractiveness.

Samuel Dooley, Dana Turjeman, John P. Dickerson, Elissa M. Redmiles

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Group Fairness in Bandits with Biased Feedback.

Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual.

Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Learning Revenue-Maximizing Auctions With Differentiable Matching.

Michael J. Curry, Uro Lyi, Tom Goldstein, John P. Dickerson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

A New Notion of Individually Fair Clustering: α-Equitable k-Center.

Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation.

I. Elizabeth Kumar, Keegan E. Hines, John P. Dickerson

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models.

Sahil Verma, Keegan Hines, John P. Dickerson

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Allocation Problems in Ride-sharing Platforms: Online Matching with Offline Reusable Resources.

John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

ACM Trans. Economics and Comput., 2021

User-Driven Programming Support for Rapid Visualization Authoring in D3.

Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, John P. Dickerson, Leilani Battle

CoRR, 2021

Exploring Alignment of Representations with Human Perception.

Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller

CoRR, 2021

Comparing Human and Machine Bias in Face Recognition.

Samuel Dooley, Ryan Downing, George Z. Wei, Nathan Shankar, Bradon Thymes, Gudrun Thorkelsdottir, Tiye Kurtz-Miott, Rachel Mattson, Olufemi Obiwumi, Valeriia Cherepanova, Micah Goldblum, John P. Dickerson, Tom Goldstein

CoRR, 2021

Robustness Disparities in Commercial Face Detection.

Samuel Dooley, Tom Goldstein, John P. Dickerson

CoRR, 2021

Pitfalls of Explainable ML: An Industry Perspective.

Sahil Verma, Aditya Lahiri, John P. Dickerson, Su-In Lee

CoRR, 2021

Counterfactual Explanations for Machine Learning: Challenges Revisited.

Sahil Verma, John P. Dickerson, Keegan Hines

CoRR, 2021

Amortized Generation of Sequential Counterfactual Explanations for Black-box Models.

Sahil Verma, Keegan Hines, John P. Dickerson

CoRR, 2021

Technical Challenges for Training Fair Neural Networks.

Valeriia Cherepanova, Vedant Nanda, Micah Goldblum, John P. Dickerson, Tom Goldstein

CoRR, 2021

SIGAI annual report: July 1 2020 - June 30 2021.

Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne, Alan Tsang

AI Matters, 2021

Distributionally Robust Cycle and Chain Packing With Application To Organ Exchange.

Duncan C. McElfresh, John P. Dickerson, Ke Ren, Hoda Bidkhori

Proceedings of the Winter Simulation Conference, 2021

PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning.

Neehar Peri, Michael J. Curry, Samuel Dooley, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?

Jingling Li, Mozhi Zhang, Keyulu Xu, John Dickerson, Jimmy Ba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fair Clustering Under a Bounded Cost.

Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization.

Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John Dickerson, Furong Huang, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling.

Naveen Raman, Sanket Shah, John P. Dickerson

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks.

Avi Schwarzschild, Micah Goldblum, Arjun Gupta, John P. Dickerson, Tom Goldstein

Proceedings of the 38th International Conference on Machine Learning, 2021

LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition.

Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P. Dickerson, Gavin Taylor, Tom Goldstein

Proceedings of the 9th International Conference on Learning Representations, 2021

Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning.

Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Indecision Modeling.

Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Scalable Equilibrium Computation in Multi-agent Influence Games on Networks.

Fotini Christia, Michael J. Curry, Constantinos Daskalakis, Erik D. Demaine, John P. Dickerson, MohammadTaghi Hajiaghayi, Adam Hesterberg, Marina Knittel, Aidan Milliff

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints.

Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Optimal Kidney Exchange with Immunosuppressants.

Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Ignorance Is Almost Bliss: Near-Optimal Stochastic Matching with Few Queries.

Avrim Blum, John P. Dickerson, Nika Haghtalab, Ariel D. Procaccia, Tuomas Sandholm, Ankit Sharma

Oper. Res., 2020

Noisy Labels Can Induce Good Representations.

Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba

CoRR, 2020

Counterfactual Explanations for Machine Learning: A Review.

Sahil Verma, John P. Dickerson, Keegan Hines

CoRR, 2020

ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning.

Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-yeh Chiang, Tom Goldstein, John P. Dickerson

CoRR, 2020

The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers.

Samuel Dooley, John P. Dickerson

CoRR, 2020

Detection as Regression: Certified Object Detection by Median Smoothing.

Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John P. Dickerson, Tom Goldstein

CoRR, 2020

Unifying Model Explainability and Robustness via Machine-Checkable Concepts.

Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar

CoRR, 2020

Active Preference Elicitation via Adjustable Robust Optimization.

Phebe Vayanos, Duncan C. McElfresh, Yingxiao Ye, John Paul Dickerson, Eric Rice

CoRR, 2020

Forming Diverse Teams from Sequentially Arriving People.

Faez Ahmed, John Dickerson, Mark D. Fuge

CoRR, 2020

Can an Algorithm be My Healthcare Proxy?

Duncan C. McElfresh, Samuel Dooley, Yuan Cui, Kendra Griesman, Weiqin Wang, Tyler Will, Neil Sehgal, John P. Dickerson

CoRR, 2020

SIGAI annual report: July 1 2019 - June 30 2020.

Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne

AI Matters, 2020

AAAI/ACM SIGAI job fair 2020: a retrospective.

Michael Albert, John P. Dickerson

AI Matters, 2020

Adapting a kidney exchange algorithm to align with human values.

Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer

Artif. Intell., 2020

Kidney Exchange with Inhomogeneous Edge Existence Uncertainty.

Hoda Bidkhori, John Dickerson, Duncan C. McElfresh, Ke Ren

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Improving Policy-Constrained Kidney Exchange via Pre-Screening.

Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Probabilistic Fair Clustering.

Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Certifying Strategyproof Auction Networks.

Michael J. Curry, Ping-Yeh Chiang, Tom Goldstein, John Dickerson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Detection as Regression: Certified Object Detection with Median Smoothing.

Ping-yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John Dickerson, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Algorithm for Multi-Attribute Diverse Matching.

Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics.

Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz

Proceedings of the 37th International Conference on Machine Learning, 2020

A Pairwise Fair and Community-preserving Approach to k-Center Clustering.

Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas

Proceedings of the 37th International Conference on Machine Learning, 2020

Deep k-NN Defense Against Clean-Label Data Poisoning Attacks.

Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

We Need Fairness and Explainability in Algorithmic Hiring.

Candice Schumann, Jeffrey S. Foster, Nicholas Mattei, John P. Dickerson

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Human Comprehension of Fairness in Machine Learning.

Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making.

Lok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

Clearing Kidney Exchanges via Graph Neural Network Guided Tree Search (Student Abstract).

Zeyu Zhao, John P. Dickerson

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Universal Adversarial Training.

Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours.

Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Failure-Aware Kidney Exchange.

John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm

Manag. Sci., 2019

Group Fairness in Bandit Arm Selection.

Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson

CoRR, 2019

Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare.

Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu

CoRR, 2019

Strong Baseline Defenses Against Clean-Label Poisoning Attacks.

Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

CoRR, 2019

Algorithms for Optimal Diverse Matching.

Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller

CoRR, 2019

ACM SIGAI activity report.

Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Iolanda Leite, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Marion Neumann, Plamen Petrov, Michael Rovatsos, David G. Stork

AI Matters, 2019

AAAI/ACM SIGAI job fair 2019: a retrospective.

Christopher Amato, John P. Dickerson

AI Matters, 2019

Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare.

Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu

Proceedings of the Web and Internet Economics - 15th International Conference, 2019

Adversarial training for free!

Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Making the Cut: A Bandit-based Approach to Tiered Interviewing.

Candice Schumann, Zhi Lang, Jeffrey S. Foster, John P. Dickerson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing.

Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein

Proceedings of the 30th British Machine Vision Conference 2019, 2019

The Diverse Cohort Selection Problem.

Candice Schumann, Samsara N. Counts, Jeffrey S. Foster, John P. Dickerson

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Online Resource Allocation with Matching Constraints.

John P. Dickerson, Karthik Abinav Sankararaman, Kanthi Kiran Sarpatwar, Aravind Srinivasan, Kun-Lung Wu, Pan Xu

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

A Unified Approach to Online Matching with Conflict-Aware Constraints.

Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Scalable Robust Kidney Exchange.

Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity.

John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

ACM SIGAI activity report.

Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Plamen Petrov, Michael Rovatsos, David G. Stork

AI Matters, 2018

AAAI/ACM SIGAI job fair 2018: a retrospective.

John P. Dickerson, Nicholas Mattei

AI Matters, 2018

Dancing Pigs or Externalities?: Measuring the Rationality of Security Decisions.

Elissa M. Redmiles, Michelle L. Mazurek, John P. Dickerson

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Equilibrium Behavior in Competing Dynamic Matching Markets.

Zhuoshu Li, Neal Gupta, Sanmay Das, John P. Dickerson

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Muffin-Theorem Generator.

Guangqi Cui, John P. Dickerson, Naveen Durvasula, William Gasarch, Erik Metz, Jacob Prinz, Naveen Raman, Daniel Smolyak, Sung Hyun Yoo

Proceedings of the 9th International Conference on Fun with Algorithms, 2018

Equitable Security: Optimizing Distribution of Nudges and Resources.

Elissa M. Redmiles, John P. Dickerson, Krishna P. Gummadi, Michelle L. Mazurek

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

Assigning Tasks to Workers based on Historical Data: Online Task Assignment with Two-sided Arrivals.

John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange.

Duncan C. McElfresh, John P. Dickerson

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multi-Organ Exchange.

John P. Dickerson, Tuomas Sandholm

J. Artif. Intell. Res., 2017

The Diverse Cohort Selection Problem: Multi-Armed Bandits with Varied Pulls.

Candice Schumann, Samsara N. Counts, Jeffrey S. Foster, John P. Dickerson

CoRR, 2017

Learning to Schedule Deadline- and Operator-Sensitive Tasks.

Hanan Rosemarin, John P. Dickerson, Sarit Kraus

CoRR, 2017

Operation Frames and Clubs in Kidney Exchange.

Gabriele Farina, John P. Dickerson, Tuomas Sandholm

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Diverse Weighted Bipartite b-Matching.

Faez Ahmed, John P. Dickerson, Mark D. Fuge

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Inter-Club Kidney Exchange.

Gabriele Farina, John P. Dickerson, Tuomas Sandholm

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Small Representations of Big Kidney Exchange Graphs.

John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Hardness of the Pricing Problem for Chains in Barter Exchanges.

Benjamin Plaut, John P. Dickerson, Tuomas Sandholm

CoRR, 2016

Position-Indexed Formulations for Kidney Exchange.

John P. Dickerson, David F. Manlove, Benjamin Plaut, Tuomas Sandholm, James Trimble

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Fast Optimal Clearing of Capped-Chain Barter Exchanges.

Benjamin Plaut, John P. Dickerson, Tuomas Sandholm

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Automated Generation of Counterterrorism Policies Using Multiexpert Input.

Anshul Sawant, John P. Dickerson, Mohammad Taghi Hajiaghayi, V. S. Subrahmanian

ACM Trans. Intell. Syst. Technol., 2015

Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism.

Chen Hajaj, John P. Dickerson, Avinatan Hassidim, Tuomas Sandholm, David Sarne

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments.

John P. Dickerson, Tuomas Sandholm

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Forecasting Country Stability in North Africa.

Steven Banaszak, Elizabeth K. Bowman, John P. Dickerson, V. S. Subrahmanian

Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Endogenously- but not Exogenously-driven Selective Sustained Attention is Related to Learning in a Classroom-like Setting in Kindergarten Children.

Lucy Erickson, Erik D. Thiessen, Karrie E. Godwin, John P. Dickerson, Anna V. Fisher

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Price of fairness in kidney exchange.

John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Robust dynamic optimization with application to kidney exchange.

John P. Dickerson

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Using sentiment to detect bots on Twitter: Are humans more opinionated than bots?

John P. Dickerson, Vadim Kagan, V. S. Subrahmanian

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Balancing Efficiency and Fairness in Dynamic Kidney Exchange.

John Paul Dickerson, Tuomas Sandholm

Proceedings of the Modern Artificial Intelligence for Health Analytics, 2014

Multi-Organ Exchange: The Whole Is Greater than the Sum of its Parts.

John P. Dickerson, Tuomas Sandholm

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

The Computational Rise and Fall of Fairness.

John P. Dickerson, Jonathan R. Goldman, Jeremy Karp, Ariel D. Procaccia, Tuomas Sandholm

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Parallel Abductive Query Answering in Probabilistic Logic Programs.

Gerardo I. Simari, John P. Dickerson, Amy Sliva, V. S. Subrahmanian

ACM Trans. Comput. Log., 2013

PREVE: a policy recommendation engine based on vector equilibria applied to reducing LeT's attacks.

John P. Dickerson, Anshul Sawant, Mohammad Taghi Hajiaghayi, V. S. Subrahmanian

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Throwing Darts: Random Sampling Helps Tree Search when the Number of Short Certificates is Moderate.

John Paul Dickerson, Tuomas Sandholm

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

Adversarial Geospatial Abduction Problems.

Paulo Shakarian, John P. Dickerson, V. S. Subrahmanian

ACM Trans. Intell. Syst. Technol., 2012

Speeding Up Particle Trajectory Simulations Under Moving Force Fields using Graphic Processing Units.

Robert Patro, John P. Dickerson, Sujal Bista, Satyandra K. Gupta, Amitabh Varshney

J. Comput. Inf. Sci. Eng., 2012

Optimizing kidney exchange with transplant chains: theory and reality.

John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Dynamic Matching via Weighted Myopia with Application to Kidney Exchange.

John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Dealing with Lashkar-e-Taiba: A Multi-player Game-Theoretic Perspective.

John P. Dickerson, Aaron Mannes, V. S. Subrahmanian

Proceedings of the European Intelligence and Security Informatics Conference, 2011

2010

Cost-Based Query Answering in Action Probabilistic Logic Programs.

Gerardo I. Simari, John P. Dickerson, V. S. Subrahmanian

Proceedings of the Scalable Uncertainty Management - 4th International Conference, 2010

A graph-theoretic approach to protect static and moving targets from adversaries.

John P. Dickerson, Gerardo I. Simari, V. S. Subrahmanian, Sarit Kraus

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010