For working papers, please email me at john@cs.umd.edu or check out arXiv for public drafts.


Conference papers

Authors Title Year Venue
Nanda*, Vedant
Dooley*, Samuel
Singla, Sahil
Feizi, Soheil
Dickerson, John P.
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning (pdf) 2021 Conference on Fairness, Accountability, and Transparency (FAccT)
Cherepanova, Valeriia
Goldblum, Micah
Foley, Harrison
Duan, Shiyuan
Dickerson, John P.
Taylor, Gavin
Goldstein, Tom
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition (pdf) 2021 International Conference on Learning Representations (ICLR)
Raman, Naveen
Shah, Sanket
Dickerson, John P.
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling 2021 International Joint Conference on Artificial Intelligence (IJCAI)
Brubach, Brian
Chakrabarti, Darshan
Dickerson, John P.
Srinivasan, Aravind
Tsepenekas, Leonidas
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints (pdf) 2021 Conference on Artificial Intelligence (AAAI)
Aziz, Haris
Cseh, Agnes
Dickerson, John P.
McElfresh, Duncan C.
Optimal Kidney Exchange with Immunosuppressants (pdf) 2021 Conference on Artificial Intelligence (AAAI)
McElfresh, Duncan C.
Chan, Lok
Doyle, Kenzie
Sinnott-Armstrong, Walter
Conitzer, Vincent
Schaich Borg, Jana
Dickerson, John P.
Indecision Modeling (pdf) 2021 Conference on Artificial Intelligence (AAAI)
Christia, Fotini
Curry, Michael
Daskalakis, Constantinos
Demaine, Erik
Dickerson, John P.
Hajiaghayi, Mohammadtaghi
Hesterberg, Adam
Knittel, Marina
Milliff, Aidan
Scalable Equilibrium Computation in Multi-agent Influence Games on Networks (pdf) 2021 Conference on Artificial Intelligence (AAAI)
Schwarzschild, Avi
Goldblum, Micah
Gupta, Arjun
Dickerson, John P.
Goldstein, Tom
Measuring the Effectiveness of Dataset Manipulation Attacks 2021 International Conference on Machine Learning (ICML)
McElfresh, Duncan C.
Kroer, Christian
Pupyrev, Sergey
Sodomka, Eric
Dexter, Neil
Sankararaman, Karthik Abinav
Chauvin, Zack
Dickerson, John P.
Matching Algorithms for Blood Donation 2020 Conference on Economics and Computation (EC)
Chiang, Ping-yeh
Curry, Michael
Abdelkader, Ahmed
Kumar, Aounon
Dickerson, John P.
Goldstein, Tom
Detection as Regression: Certified Object Detection with Median Smoothing (pdf) 2020 Conference on Neural Information Processing Systems (NeurIPS)
Curry, Michael
Chiang, Ping-yeh
Goldstein, Tom
Dickerson, John P.
Certifying Strategyproof Auction Networks (pdf) 2020 Conference on Neural Information Processing Systems (NeurIPS)
Esmaeili, Seyed
Brubach, Brian
Tsepenekas, Leonidas
Dickerson, John P.
Probabilistic Fair Clustering (pdf) 2020 Conference on Neural Information Processing Systems (NeurIPS)
McElfresh, Duncan C.
Curry, Michael
Sandholm, Tuomas
Dickerson, John P.
Improving Policy-Constrained Kidney Exchange via Pre-Screening (pdf) 2020 Conference on Neural Information Processing Systems (NeurIPS)
Brubach, Brian
Chakrabarti, Darshan
Dickerson, John P.
Khuller, Samir
Srinivasan, Aravind
Tsepenekas, Leonidas
A Pairwise Fair and Community Preserving Approach to k-Center Clustering (pdf) 2020 International Conference on Machine Learning (ICML)
Saha, Debjani
Schumann, Candice
McElfresh, Duncan C.
Dickerson, John P.
Mazurek, Michelle L
Tschantz, Michael Carl
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics (pdf) 2020 International Conference on Machine Learning (ICML). Earlier version appeared at AIES-20.
Bidkhori, Hoda
Dickerson, John P.
McElfresh, Duncan C.
Ren, Ke
Kidney Exchange with Inhomogeneous Edge Existence Uncertainty (pdf) 2020 Conference on Uncertainty in Artificial Intelligence (UAI)
Ahmadi, Saba
Ahmed, Faez
Dickerson, John P.
Fuge, Mark
Khuller, Samir
An Algorithm for Multi-Attribute Diverse Matching (pdf) 2020 International Joint Conference on Artificial Intelligence (IJCAI)
Shafahi, Ali
Najibi, Mahyar
Xu, Zheng
Dickerson, John P.
Davis, Larry S.
Goldstein, Tom
Universal Adversarial Training (pdf) 2020 Conference on Artificial Intelligence (AAAI)
Nanda, Vedant
Xu, Pan
Sankararaman, Karthik Abinav
Dickerson, John P.
Srinivasan, Aravind
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours (pdf) 2020 Conference on Artificial Intelligence (AAAI). Earlier version appeared at AIES-20.
Chan, Lok
Doyle, Kenzie
McElfresh, Duncan C.
Conitzer, Vincent
Dickerson, John P.
Schaich Borg, Jana
Sinnott-Armstrong, Walter
Artificial Artificial Intelligence: Measuring Influence of AI ``Assessments'' on Moral Decision-Making (pdf) 2020 Conference on Artificial Intelligence, Ethics, and Society (AIES)
Curry, Michael
Dickerson, John P.
Sankararaman, Karthik Abinav
Srinivasan, Aravind
Wan, Yuhao
Xu, Pan
Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare (pdf) 2019 Conference on Web and Internet Economics (WINE)
Schumann, Candice
Lang, Zhi
Foster, Jeffrey
Dickerson, John P.
Making the Cut: A Bandit-based Approach to Tiered Interviewing (pdf) 2019 Conference on Neural Information Processing Systems (NeurIPS)
Shafahi, Ali
Najibi, Mahyar
Ghiasi, Mohammad Amin
Xu, Zheng
Dickerson, John P.
Studer, Chrisopher
Davis, Larry S.
Taylor, Gavin
Goldstein, Tom
Adversarial Training for Free! (pdf) 2019 Conference on Neural Information Processing Systems (NeurIPS)
McElfresh, Duncan
Bidkhori, Hoda
Dickerson, John P.
Scalable Robust Kidney Exchange (pdf) 2019 Conference on Artificial Intelligence (AAAI)
Dickerson, John P.
Sankararaman, Karthik Abinav
Srinivasan, Aravind
Xu, Pan
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity (pdf) 2019 Conference on Artificial Intelligence (AAAI)
Xu, Pan
Shi, Yexuan
Cheng, Hao
Dickerson, John P.
Sankararaman, Karthik Abinav
Srinivasan, Aravind
Tong, Yongxin
Tsepenekas, Leonidas
A Unified Approach to Online Matching with Conflict-Aware Constraints (pdf) 2019 Conference on Artificial Intelligence (AAAI)
Schumann, Candice
Counts, Samsara N.
Foster, Jeffrey
Dickerson, John P.
The Diverse Cohort Selection Problem (pdf) 2019 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
Dickerson, John P.
Sankararaman, Karthik Abinav
Sarpatwar, Kanthi
Srinivasan, Aravind
Wu, Kun-Lung
Xu, Pan
Online Resource Allocation with Matching Constraints (pdf) 2019 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
Shafahi, Ali
Ghiasi, Mohammad Amin
Najibi, Mahyar
Huang, Furong
Dickerson, John P.
Goldstein, Tom
Logit-Similarity: Defending, Understanding, and Generalizing Logit-Squeezing 2019 British Machine Vision Conference (BMVC)
McElfresh, Duncan
Dickerson, John P.
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange (pdf) 2018 Conference on Artificial Intelligence (AAAI)
Freedman, Rachel
Schaich Borg, Jana
Sinnott-Armstrong, Walter
Dickerson, John P.
Conitzer, Vincent
Adapting a Kidney Exchange Algorithm to Align with Human Values (pdf) 2018 Conference on Artificial Intelligence (AAAI). \bf Outstanding Student Paper Honorable Mention
Dickerson, John P.
Sankararaman, Karthik Abinav
Srinivasan, Aravind
Xu, Pan
Allocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources (pdf) 2018 Conference on Artificial Intelligence (AAAI)
Li, Zhuoshu
Gupta, Neal
Das, Sanmay
Dickerson, John P.
Equilibrium Behavior in Competing Dynamic Matching Markets (pdf) 2018 International Joint Conference on Artificial Intelligence (IJCAI)
Dickerson, John P.
Sankararaman, Karthik Abinav
Srinivasan, Aravind
Xu, Pan
Assigning Tasks to Workers based on Historical Data: Online Matching with Two-sided Arrivals (pdf) 2018 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
Redmiles, Elissa M.
Mazurek, Michelle
Dickerson, John P.
Dancing Pigs or Externalities? Measuring the Rationality of Security Decisions (pdf) 2018 Conference on Economics and Computation (EC)
Dickerson, John P.
Kazachkov, Alexsandr M.
Procaccia, Ariel D.
Sandholm, Tuomas
Small Representations of Big Kidney Exchange Graphs (pdf) 2017 Conference on Artificial Intelligence (AAAI)
Farina, Gabriele
Dickerson, John P.
Sandholm, Tuomas
Operation Frames and Clubs in Kidney Exchange (pdf) 2017 International Joint Conference on Artificial Intelligence (IJCAI)
Ahmed, Faez
Dickerson, John P.
Fuge, Mark
Diverse Weighted Bipartite b-Matching (pdf) 2017 International Joint Conference on Artificial Intelligence (IJCAI)
Plaut, Benjamin
Dickerson, John P.
Sandholm, Tuomas
Fast Optimal Clearing of Capped-Chain Barter Exchanges (pdf) 2016 Conference on Artificial Intelligence (AAAI)
Dickerson, John P.
Manlove, David
Plaut, Benjamin
Sandholm, Tuomas
Trimble, James
Position-Indexed Formulations for Kidney Exchange (pdf) 2016 Conference on Economics and Computation (EC)
Blum, Avrim
Dickerson, John P.
Haghtalab, Nika
Procaccia, Ariel D.
Sandholm, Tuomas
Sharma, Ankit
Ignorance is Almost Bliss: Near-Optimal Stochastic Matching With Few Queries (pdf) 2015 Conference on Economics and Computation (EC)
Dickerson, John P.
Sandholm, Tuomas
FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments (pdf) 2015 Conference on Artificial Intelligence (AAAI)
Hajaj, Chen
Dickerson, John P.
Hassidim, Avinatan
Sandholm, Tuomas
Sarne, David
Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism (pdf) 2015 Conference on Artificial Intelligence (AAAI)
Das, Sanmay
Dickerson, John P.
Li, Zhuoshu
Sandholm, Tuomas
Competing Dynamic Matching Markets (pdf) 2015 Conference on Auctions, Market Mechanisms, and Their Applications (AMMA)
Dickerson, John P.
Procaccia, Ariel D.
Sandholm, Tuomas
Price of Fairness in Kidney Exchange (pdf) 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
Dickerson, John P.
Goldman, Jonathan
Karp, Jeremy
Procaccia, Ariel D.
Sandholm, Tuomas
The Computational Rise and Fall of Fairness (pdf) 2014 Conference on Artificial Intelligence (AAAI)
Dickerson, John P.
Sandholm, Tuomas
Multi-Organ Exchange: The Whole is Greater than the Sum of its Parts (pdf) 2014 Conference on Artificial Intelligence (AAAI)
Dickerson, John P.
Kagan, Vadim
Subrahmanian, V.S.
Using Sentiment to Detect Bots on Twitter: Are Humans more Opinionated than Bots? (pdf) 2014 International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Erickson, Lucy C.
Thiessen, Erik D.
Godwin, Karrie E.
Dickerson, John P.
Fisher, Anna V.
Endogenously- but not Exogenously-driven Selective Sustained Attention is Related to Learning in a Classroom-like Setting in Kindergarten Children (pdf) 2014 Conference of the Cognitive Science Society (CogSci)
Dickerson, John P.
Procaccia, Ariel D.
Sandholm, Tuomas
Failure-Aware Kidney Exchange (pdf) 2013 Conference on Economics and Computation (EC)
Dickerson, John P.
Sawant, Anshul
Hajiaghayi, Mohammad
Subrahmanian, V.S.
PREVE: A Policy Recommendation Engine based on Vector Equilibria Applied to Reducing LeT's Attacks (pdf) 2013 International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
Dickerson, John P.
Procaccia, Ariel D.
Sandholm, Tuomas
Dynamic Matching via Weighted Myopia with Application to Kidney Exchange (pdf) 2012 Conference on Artificial Intelligence (AAAI)
Dickerson, John P.
Procaccia, Ariel D.
Sandholm, Tuomas
Optimizing Kidney Exchange with Transplant Chains: Theory and Reality (pdf) 2012 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
Dickerson, John P.
Simari, Gerardo I.
Subrahmanian, V.S.
Kraus, Sarit
A Graph-Theoretic Approach to Protect Static and Moving Targets from Adversaries (pdf) 2010 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
Simari, Gerardo I.
Dickerson, John P.
Subrahmanian, V.S.
Cost-based Query Answering in Action Probabilistic Logic Programs (pdf) 2010 International Conference on Scalable Uncertainty Management (SUM)

Journal articles

Authors Title Year Venue
Dickerson, John P.
Sankararaman, Karthik Abinav
Srinivasan, Aravind
Xu, Pan
Allocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources 2021 ACM Transactions on Economics and Computation (TEAC). To appear.
Freedman, Rachel
Schaich Borg, Jana
Sinnott-Armstrong, Walter
Dickerson, John P.
Conitzer, Vincent
Adapting a Kidney Exchange Algorithm to Align with Human Values (pdf) 2020 Artificial Intelligence (AIJ)
Blum, Avrim
Dickerson, John P.
Haghtalab, Nika
Procaccia, Ariel D.
Sandholm, Tuomas
Sharma, Ankit
Ignorance is Almost Bliss: Near-Optimal Stochastic Matching With Few Queries (pdf) 2020 Operations Research
Ahmed, Faez
Dickerson, John P.
Fuge, Mark
Forming Diverse Teams from Sequentially Arriving People (pdf) 2020 Journal of Mechanical Design (JMD)
Dickerson, John P.
Procaccia, Ariel D.
Sandholm, Tuomas
Failure-Aware Kidney Exchange (pdf) 2019 Management Science
Doebel, Sabine
Dickerson, John P.
Hoover, Jerome D.
Munakata, Yuko
Using language to get ready: Familiar labels help children to engage proactive control (pdf) 2018 Journal of Experimental Child Psychology
Dickerson, John P.
Sandholm, Tuomas
Multi-Organ Exchange (pdf) 2017 Journal of Artificial Intelligence Research (JAIR)
Sawant, Anshul
Dickerson, John P.
Hajiaghayi, Mohammad T.
Subrahmanian, V.S.
Automated Generation of Counter-Terrorism Policies using Multi-Expert Input (pdf) 2015 ACM Transactions on Intelligent Systems and Technology (TIST)
Erickson, Lucy C.
Thiessen, Erik D.
Godwin, Karrie E.
Dickerson, John P.
Fisher, Anna V.
Endogenously- and Exogenously-driven Selective Sustained Attention: Contributions to Learning in Kindergarten Children (pdf) 2015 Journal of Experimental Child Psychology
Simari, Gerardo I.
Dickerson, John P.
Sliva, Amy
Subrahmanian, V.S.
Parallel Abductive Query Answering in Probabilistic Logic Programs (pdf) 2013 ACM Transactions on Computational Logic (TOCL)
Fisher, Anna
Thiessen, Erik
Godwin, Karrie
Kloos, Heidi
Dickerson, John P.
Assessing selective sustained attention in 3- to 5-year-old children: Evidence from a new paradigm (pdf) 2013 Journal of Experimental Child Psychology
Shakarian, Paulo
Dickerson, John P.
Subrahmanian, V.S.
Adversarial Geospatial Abduction Problems (pdf) 2012 ACM Transactions on Intelligent Systems and Technology (TIST)
Patro, Robert
Dickerson, John P.
Bista, Sujal
Gupta, Satyandra K.
Varshney, Amitabh
Speeding Up Particle Trajectory Simulations under Moving Force Fields using GPUs (pdf) 2012 ASME Journal of Computing and Information Science in Engineering (JCISE)
Subrahmanian, V.S.
Dickerson, John P.
What Can Virtual Worlds and Games Do for National Security? (pdf) 2009 Science

Workshop, smaller conference, & earlier-stage papers

Authors Title Year Venue
Verma, Sahil
Hines, Keegan
Dickerson, John P.
Generating Fast Counterfactual Explanations for Black-box Models Using Reinforcement Learning 2021 Explainable Agency in Artificial Intelligence (XAI) Workshop at AAAI-21
Verma, Sahil
Dickerson, John P.
Hines, Keegan
Counterfactual Explanations for Machine Learning: Challenges Revisited 2021 Operationalizing Human-Centered Perspectives in Explainable AI (HCXAI) Workshop at CHI-21
Nanda, Vedant
McElfresh, Duncan C.
Dickerson, John P.
Learning to Explain Machine Learning 2021 Operationalizing Human-Centered Perspectives in Explainable AI (HCXAI) Workshop at CHI-21
Durvasula, Naveen
Dickerson, John P.
Srinivasan, Aravind
A Bayesian Optimization Approach to Estimating Expected Match Time and Organ Quality in Kidney Exchange 2021 AI for Public Health (AI4PH) Workshop at ICLR-21
Zeyu, Zhao
Dickerson, John P.
Clearing the Kidney Exchange Through Graph Neural Network Guided Tree Search 2020 Student Abstract at AAAI-20
Nanda, Vedant
Xu, Pan
Sankararaman, Karthik Abinav
Dickerson, John P.
Srinivasan, Aravind
Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours 2020 Conference on Artificial Intelligence, Ethics, and Society (AIES). Abstract-only publication; subsumed by AAAI-20 paper.
McElfresh, Duncan C.
Dooley, Samuel
Cui, Charles
Griesman, Kendra
Wang, Weiqin
Will, Tyler
Sehgal, Neil
Dickerson, John P.
Can an Algorithm be My Healthcare Proxy? 2020 Workshop on Health Intelligence at AAAI-20
Saha, Debjani
Schumann, Candice
McElfresh, Duncan C.
Dickerson, John P.
Mazurek, Michelle L
Tschantz, Michael Carl
Human Comprehension of Fairness in Machine Learning 2020 Conference on Artificial Intelligence, Ethics, and Society (AIES). Abstract-only publication; subsumed by ICML-20 paper.
Raman, Naveen
Shah, Sanket
Dickerson, John P.
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling 2020 ML for Economic Policy workshop at NeurIPS-20
Curry, Michael
Chiang, Ping-yeh
Goldstein, Tom
Dickerson, John P.
Certifying Strategyproof Auction Networks 2020 ML for Economic Policy workshop at NeurIPS-20. Subsumed by NeurIPS-20 paper.
Verma, Sahil
Dickerson, John P.
Hines, Keegan
Counterfactual Explanations for Machine Learning: A Review 2020 ML Retrospectives, Surveys \& Meta-Analyses (ML-RSA) Workshop at NeurIPS-20
Curry, Michael J.
McElfresh, Duncan C.
You, Xuchen
Moy, Cameron
Huang, Furong
Goldstein, Tom
Dickerson, John P.
Reinforcement Learning for Dynamic Set Packing 2019 Conference on Reinforcement Learning and Decision Making (RLDM)
McElfresh, Duncan C.
Kroer, Christian
Pupyrev, Sergey
Sodomka, Eric
Dickerson, John P.
Matching Algorithms for Blood Donation 2019 AI for Social Good Workshop at IJCAI-19
McElfresh, Duncan C.
Kroer, Christian
Pupyrev, Sergey
Sodomka, Eric
Dickerson, John P.
Matching Algorithms for Blood Donation 2019 Mechanism Design for Social Good (MD4SG)
Schumann, Candice
Lang, Zhi
Mattei, Nicholas
Dickerson, John P.
Group Fairness in Bandit Arm Selection 2019 Machine Learning and Causal Inference for Improved Decision Making workshop at NeurIPS-19
Cui, Guangiqi
Dickerson, John P.
Durvasula, Naveen
Gasarch, William
Metz, Erik
Prinz, Jacob
Raman, Naveen
Smolyak, Daniel
Yoo, Sung Hyun
A Muffin-Theorem Generator 2018 International Conference on Fun with Algorithms (FUN). Working paper. Full version available as ``The Muffin Problem'' at arXiv:abs/1709.02452.
McElfresh, Duncan
Dickerson, John P.
Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange 2018 2018 Workshop on Health Intelligence (W3PHIAI) at AAAI-18
Dickerson, John P.
Kazachkov, Alexsandr M.
Procaccia, Ariel D.
Sandholm, Tuomas
Small Representations of Big Kidney Exchange Graphs 2017 Workshop on AI and OR for Social Good (AIORSocGood) at AAAI-17
Farina, Gabriele
Dickerson, John P.
Sandholm, Tuomas
Inter-Club Kidney Exchange 2017 Workshop on AI and OR for Social Good (AIORSocGood) at AAAI-17
Farina, Gabriele
Dickerson, John P.
Sandholm, Tuomas
Multiple Willing Donors and Organ Clubs in Kidney Exchange 2017 Algorithmic Game Theory (AGT) workshop at IJCAI-17
Schumann, Candice
Counts, Samsara N.
Foster, Jeffrey
Dickerson, John P.
The Diverse Cohort Selection Problem: Multi-Armed Bandits with Varied Pulls 2017 Women in Machine Learning (WiML) Workshop at NIPS-17
Schumann, Candice
Counts, Samsara N.
Foster, Jeffrey
Dickerson, John P.
The Diverse Cohort Selection Problem: Multi-Armed Bandits with Varied Pulls 2017 Aligned AI Workshop at NIPS-17
Dickerson, John P.
Kazachkov, Alexsandr M.
Procaccia, Ariel D.
Sandholm, Tuomas
Small Representations of Big Kidney Exchange Graphs 2016 Exploring Beyond the Worst Case in Computational Social Choice (EXPLORE) workshop at AAMAS-2016. \bf Most Visionary Paper
Dickerson, John P.
Sandholm, Tuomas
Uncertainty in Dynamic Matching with Application to Organ Exchange 2015 Machine Learning for Healthcare (MLHC) workshop at NIPS-2015
Dickerson, John P.
Sandholm, Tuomas
Balancing Efficiency and Fairness in Dynamic Kidney Exchange (pdf) 2014 Modern Artificial Intelligence for Health Analytics (MAIHA) workshop at AAAI-2014
Dickerson, John P.
Goldman, Jonathan
Karp, Jeremy
Procaccia, Ariel D.
Sandholm, Tuomas
The Computational Rise and Fall of Fairness (pdf) 2014 Exploring Beyond the Worst Case in Computational Social Choice (EXPLORE) workshop at AAMAS-2014
Dickerson, John P.
Procaccia, Ariel D.
Sandholm, Tuomas
Empirical Price of Fairness in Failure-Aware Kidney Exchange (pdf) 2014 Towards Better and more Affordable Healthcare: Incentives, Game Theory, and Artificial Intelligence (HCAGT) workshop at AAMAS-2014
Dickerson, John P. Robust Dynamic Optimization with Application to Kidney Exchange (pdf) 2014 Doctoral Consortium at AAMAS-2014
Dickerson, John P.
Sandholm, Tuomas
Throwing darts: Random sampling helps tree search when the number of short certificates is moderate (pdf) 2013 International Symposium on Combinatorial Search (SoCS)
Dickerson, John P.
Sandholm, Tuomas
Throwing darts: Random sampling helps tree search when the number of short certificates is moderate (pdf) 2013 Conference on Artificial Intelligence (AAAI). Late-breaking paper
Dickerson, John P.
Sandholm, Tuomas
Liver and Multi-Organ Exchange (pdf) 2013 IJCAI-2013 Workshop on Constraint Reasoning, Planning and Scheduling Problems for a Sustainable Future (COPLAS)
Dickerson, John P.
Mannes, Aaron
Subrahmanian, V.S.
Dealing with Lashkar-e-Taiba: A Multi-Player Game-Theoretic Perspective (pdf) 2011 International Symposium on Open Source Intelligence and Web Mining

Books & book chapters

Authors Title Year Venue
McElfresh, Duncan C.
Dooley, Samuel
Cui, Charles
Griesman, Kendra
Wang, Weiqin
Will, Tyler
Sehgal, Neil
Dickerson, John P.
Can an Algorithm be My Healthcare Proxy? 2020 Explainable AI in Healthcare and Medicine
Dickerson, John P.
Simari, Gerardo I.
Subrahmanian, V.S.
Using Temporal Probabilistic Rules to Learn Group Behavior (pdf) 2013 Handbook of Computational Approaches to Counterterrorism
Simari, Gerardo I.
Dickerson, John P.
Sliva, Amy
Subrahmanian, V.S.
Policy Analytics Generation using Action Probabilistic Logic Programs (pdf) 2013 Handbook of Computational Approaches to Counterterrorism
Subrahmanian, V.S.
Mannes, Aaron
Sliva, Amy
Shakarian, Jana
Dickerson, John P.
Computational Analysis of Terrorist Groups: Lashkar-e-Taiba (pdf) 2012 Springer
Shakarian, Paulo
Dickerson, John P.
Subrahmanian, V.S.
Geospatial Abduction with Adaptive Adversaries (pdf) 2012 Geospatial Abduction: Principles and Practice

Invited & refereed tutorials

Authors Title Year Venue
Dickerson, John P.
O'Sullivan, Elizabeth
Powers, Brian
Sundheimer, Brent
Translation Tutorial: From Publishing to Practice: Bringing AI Model Monitoring to a Healthcare Setting 2021 "Tutorial at the " # "Conference on Fairness, Accountability, and Transparency (FAccT)"
Ahmed, Faez
Das, Sanmay
Dickerson, John P.
McElfresh, Duncan
Wilder, Bryan
Optimization \& Learning Approaches to Resource Allocation for Social Good 2020 "Half-day tutorial at the " # "Conference on Artificial Intelligence (AAAI)"
Das, Sanmay
Dickerson, John P.
Wilder, Bryan
Optimization \& Learning Approaches to Resource Allocation for Social Good 2019 "Half-day tutorial at the " # "International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)"
Dickerson, John P. Some Thoughts on Ethical Issues in Kidney Exchange 2019 Tutorial at a joint session between the Workshop of the European Network for Collaboration in Kidney Exchange Programmes (ENCKEP) and Conference on Economic Design (CED)
Dickerson, John P. Ethical Market Design via Optimization 2018 Three 1.5-hour lectures at the Cornell, Maryland, Max Planck Pre-doctoral Research School (CMMRS) 2018
Dickerson, John P.
Sandholm, Tuomas
Organ Exchange: A Success Story of AI in Healthcare 2016 Half-day tutorial to be presented at AAAI-16, AAMAS-16, and IJCAI-16

Thesis

Authors Title Year Venue
Dickerson, John P. A Unified Approach to Dynamic Matching and Barter Exchange (pdf) 2016 Ph.D. Thesis.
Dickerson, John P. A Unified Approach to Dynamic Matching and Barter Exchange (pdf) 2015 Ph.D. Proposal.