John P. Dickerson

209 papers A* 61A 16B 3C 7Misc 2Journal 110Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Barter Exchange with Asymmetric Item Valuations. WWW Juan Luque, Sharmila Duppala, Michael J. Curry, John P. Dickerson, Aravind Srinivasan
2025	J	`jnl`	Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective. Trans. Mach. Learn. Res. Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Pin-Yu Chen, Jeff A. Bilmes
2025	J	`jnl`	Large language models that replace human participants can harmfully misportray and flatten identity groups. Nat. Mac. Intell. Angelina Wang, Jamie Morgenstern, John P. Dickerson
2025	A	`conf`	Robust Fair Clustering with Group Membership Uncertainty Sets. AISTATS Sharmila Duppala, Juan Luque, John P. Dickerson, Seyed A. Esmaeili
2025	A*	`conf`	Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking. ICLR Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P. Dickerson
2025	J	`jnl`	When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity. CoRR Benjamin Feuer, Chiung-Yi Tseng, Astitwa Sarthak Lathe, Oussama Elachqar, John P. Dickerson
2025	J	`jnl`	Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values. CoRR John P. Dickerson, Hadi Hosseini, Samarth Khanna, Leona Pierce
2024	A*	`conf`	Barter Exchange with Shared Item Valuations. WWW Juan Luque, Sharmila Duppala, John P. Dickerson, Aravind Srinivasan
2024	J	`jnl`	Large language models cannot replace human participants because they cannot portray identity groups. CoRR Angelina Wang, Jamie Morgenstern, John P. Dickerson
2024	J	`jnl`	Matching Tasks and Workers under Known Arrival Distributions: Online Task Assignment with Two-sided Arrivals. ACM Trans. Economics and Comput. John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu, Yifan Xu
2024	—	`conf`	Strategies for Increasing Corporate Responsible AI Prioritization. AIES (1) Angelina Wang, Teresa Datta, John P. Dickerson
2024	J	`jnl`	Strategies for Increasing Corporate Responsible AI Prioritization. CoRR Angelina Wang, Teresa Datta, John P. Dickerson
2024	J	`jnl`	Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking. CoRR Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P. Dickerson
2024	J	`jnl`	Syllabus: Portable Curricula for Reinforcement Learning Agents. CoRR Ryan Sullivan, Ryan Pégoud, Ameen Ur Rahmen, Xinchen Yang, Junyun Huang, Aayush Verma, Nistha Mitra, John P. Dickerson
2023	C	`conf`	A Deep Dive into Dataset Imbalance and Bias in Face Identification. AIES Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein
2023	J	`jnl`	Artificial Intelligence/Operations Research Workshop 2 Report Out. CoRR 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
2023	A*	`conf`	Differentiable Economics for Randomized Affine Maximizer Auctions. IJCAI Michael J. Curry, Tuomas Sandholm, John P. Dickerson
2023	A*	`conf`	Diffused Redundancy in Pre-trained Representations. NeurIPS Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller
2023	J	`jnl`	Diffused Redundancy in Pre-trained Representations. CoRR Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi, Adrian Weller
2023	A*	`conf`	Do Invariances in Deep Neural Networks Align with Human Perception? AAAI Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
2023	A*	`conf`	Doubly Constrained Fair Clustering. NeurIPS John P. Dickerson, Seyed A. Esmaeili, Jamie H. Morgenstern, Claire Jie Zhang
2023	J	`jnl`	Doubly Constrained Fair Clustering. CoRR John P. Dickerson, Seyed A. Esmaeili, Jamie Morgenstern, Claire Jie Zhang
2023	J	`jnl`	Effective Backdoor Mitigation Depends on the Pre-training Objective. CoRR Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes
2023	J	`jnl`	Fair Polylog-Approximate Low-Cost Hierarchical Clustering. CoRR Marina Knittel, Max Springer, John P. Dickerson, MohammadTaghi Hajiaghayi
2023	A*	`conf`	Fair, Polylog-Approximate Low-Cost Hierarchical Clustering. NeurIPS Marina Knittel, Max Springer, John P. Dickerson, MohammadTaghi Hajiaghayi
2023	A*	`conf`	Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost. ICML Marina Knittel, Max Springer, John P. Dickerson, MohammadTaghi Hajiaghayi
2023	A*	`conf`	Group Fairness in Set Packing Problems. IJCAI Sharmila Duppala, Juan Luque, John P. Dickerson, Aravind Srinivasan
2023	J	`jnl`	Matching algorithms for blood donation. Nat. Mac. Intell. Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson
2023	A*	`conf`	Networked Restless Bandits with Positive Externalities. AAAI Christine Herlihy, John P. Dickerson
2023	J	`jnl`	Neural Auctions Compromise Bidder Information. CoRR Alex Stein, Avi Schwarzschild, Michael J. Curry, Tom Goldstein, John P. Dickerson
2023	A*	`conf`	Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting. KDD Christine Herlihy, Aviva Prins, Aravind Srinivasan, John P. Dickerson
2023	A*	`conf`	Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual. AAAI Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson
2023	A	`conf`	RecRec: Algorithmic Recourse for Recommender Systems. CIKM Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah
2023	J	`jnl`	RecRec: Algorithmic Recourse for Recommender Systems. CoRR Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, Chirag Shah
2023	C	`conf`	Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective. AIES Avi Schwarzschild, Max Cembalest, Karthik Rao, Keegan Hines, John P. Dickerson
2023	J	`jnl`	Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective. CoRR Avi Schwarzschild, Max Cembalest, Karthik Rao, Keegan Hines, John P. Dickerson
2023	A*	`conf`	Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition. NeurIPS Samuel Dooley, Rhea Sanjay Sukthanker, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum
2023	A*	`conf`	Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. NeurIPS Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez
2023	J	`jnl`	Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. CoRR Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez
2023	J	`jnl`	SIGAI Annual Report: July 1 2022 - August 30 2023. AI Matters Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck
2023	A	`conf`	User-Driven Support for Visualization Prototyping in D3. IUI Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, Bissaka Kenah, John P. Dickerson, Leilani Battle
2023	J	`jnl`	Who's Thinking? A Push for Human-Centered Evaluation of LLMs using the XAI Playbook. CoRR Teresa Datta, John P. Dickerson
2022	A	`conf`	A New Notion of Individually Fair Clustering: α-Equitable k-Center. AISTATS Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas
2022	J	`jnl`	Achieving Downstream Fairness with Geometric Repair. CoRR Kweku Kwegyir-Aggrey, Jessica Dai, John P. Dickerson, Keegan Hines
2022	A*	`conf`	Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models. AAAI Sahil Verma, Keegan Hines, John P. Dickerson
2022	A*	`conf`	Certified Neural Network Watermarks with Randomized Smoothing. ICML Arpit Bansal, Ping-Yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, Tom Goldstein
2022	J	`jnl`	Certified Neural Network Watermarks with Randomized Smoothing. CoRR Arpit Bansal, Ping-Yeh Chiang, Michael J. Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P. Dickerson, Tom Goldstein
2022	A*	`conf`	Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments. ICML Ryan Sullivan, J. K. Terry, Benjamin Black, John P. Dickerson
2022	J	`jnl`	Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments. CoRR Ryan Sullivan, J. K. Terry, Benjamin Black, John P. Dickerson
2022	J	`jnl`	Differentiable Economics for Randomized Affine Maximizer Auctions. CoRR Michael J. Curry, Tuomas Sandholm, John P. Dickerson
2022	C	`conf`	Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation. AIES I. Elizabeth Kumar, Keegan E. Hines, John P. Dickerson
2022	J	`jnl`	Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation. CoRR I. Elizabeth Kumar, Keegan E. Hines, John P. Dickerson
2022	A*	`conf`	Fair Labeled Clustering. KDD Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach
2022	J	`jnl`	Fair Labeled Clustering. CoRR Seyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach
2022	A*	`conf`	Field Evidence of the Effects of Privacy, Data Transparency, and Pro-social Appeals on COVID-19 App Attractiveness. CHI Samuel Dooley, Dana Turjeman, John P. Dickerson, Elissa M. Redmiles
2022	A*	`conf`	Forecasting Patient Outcomes in Kidney Exchange. IJCAI Naveen Durvasula, Aravind Srinivasan, John P. Dickerson
2022	J	`jnl`	Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost. CoRR Marina Knittel, John P. Dickerson, MohammadTaghi Hajiaghayi
2022	A	`conf`	Group Fairness in Bandits with Biased Feedback. AAMAS Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson
2022	J	`jnl`	Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information. CoRR Vishnu Dutt Sharma, John P. Dickerson, Pratap Tokekar
2022	A	`conf`	Learning Revenue-Maximizing Auctions With Differentiable Matching. AISTATS Michael J. Curry, Uro Lyi, Tom Goldstein, John P. Dickerson
2022	A*	`conf`	Measuring Representational Robustness of Neural Networks Through Shared Invariances. ICML Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
2022	J	`jnl`	Measuring Representational Robustness of Neural Networks Through Shared Invariances. CoRR Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
2022	J	`jnl`	Networked Restless Bandits with Positive Externalities. CoRR Christine Herlihy, John P. Dickerson
2022	J	`jnl`	On the Generalizability and Predictability of Recommender Systems. CoRR Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John P. Dickerson, Colin White
2022	J	`jnl`	On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition. CoRR Rhea Sanjay Sukthanker, Samuel Dooley, John P. Dickerson, Colin White, Frank Hutter, Micah Goldblum
2022	A	`conf`	Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. AAMAS Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson
2022	J	`jnl`	Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual. CoRR Seyed A. Esmaeili, Sharmila Duppala, Vedant Nanda, Aravind Srinivasan, John P. Dickerson
2022	J	`jnl`	Robustness Disparities in Face Detection. CoRR Samuel Dooley, George Z. Wei, Tom Goldstein, John P. Dickerson
2022	J	`jnl`	SIGAI Annual Report: July 1 2021 - June 30 2022. AI Matters Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck
2022	J	`jnl`	Tensions Between the Proxies of Human Values in AI. CoRR Teresa Datta, Daniel Nissani, Max Cembalest, Akash Khanna, Haley Massa, John P. Dickerson
2022	A*	`conf`	The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. IJCAI Marina Knittel, Samuel Dooley, John P. Dickerson
2022	J	`jnl`	The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations. CoRR Marina Knittel, Samuel Dooley, John P. Dickerson
2022	J	`jnl`	Using inverse optimization to learn cost functions in generalized Nash games. Comput. Oper. Res. Stephanie Allen, Steven A. Gabriel, John P. Dickerson
2021	J	`jnl`	A New Notion of Individually Fair Clustering: α-Equitable k-Center. CoRR Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas
2021	J	`jnl`	Allocation Problems in Ride-sharing Platforms: Online Matching with Offline Reusable Resources. ACM Trans. Economics and Comput. John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu
2021	J	`jnl`	Amortized Generation of Sequential Counterfactual Explanations for Black-box Models. CoRR Sahil Verma, Keegan Hines, John P. Dickerson
2021	J	`jnl`	Comparing Human and Machine Bias in Face Recognition. CoRR 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
2021	J	`jnl`	Counterfactual Explanations for Machine Learning: Challenges Revisited. CoRR Sahil Verma, John P. Dickerson, Keegan Hines
2021	A*	`conf`	Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. IJCAI Naveen Raman, Sanket Shah, John P. Dickerson
2021	Misc	`conf`	Distributionally Robust Cycle and Chain Packing With Application To Organ Exchange. WSC Duncan C. McElfresh, John P. Dickerson, Ke Ren, Hoda Bidkhori
2021	J	`jnl`	Exploring Alignment of Representations with Human Perception. CoRR Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller
2021	J	`jnl`	Fair Clustering Under a Bounded Cost. CoRR Seyed A. Esmaeili, Brian Brubach, Aravind Srinivasan, John P. Dickerson
2021	—	`conf`	Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. FAccT Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
2021	A*	`conf`	Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints. AAAI Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas
2021	J	`jnl`	Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints. CoRR Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas
2021	A*	`conf`	Indecision Modeling. AAAI Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson
2021	A*	`conf`	Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks. ICML Avi Schwarzschild, Micah Goldblum, Arjun Gupta, John P. Dickerson, Tom Goldstein
2021	A*	`conf`	LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition. ICLR Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P. Dickerson, Gavin Taylor, Tom Goldstein
2021	J	`jnl`	LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition. CoRR Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P. Dickerson, Gavin Taylor, Tom Goldstein
2021	J	`jnl`	Matching Algorithms for Blood Donation. CoRR Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson
2021	A*	`conf`	Optimal Kidney Exchange with Immunosuppressants. AAAI Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh
2021	J	`jnl`	Optimal Kidney Exchange with Immunosuppressants. CoRR Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh
2021	J	`jnl`	Pitfalls of Explainable ML: An Industry Perspective. CoRR Sahil Verma, Aditya Lahiri, John P. Dickerson, Su-In Lee
2021	J	`jnl`	PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning. CoRR Neehar Peri, Michael J. Curry, Samuel Dooley, John P. Dickerson
2021	J	`jnl`	Robustness Disparities in Commercial Face Detection. CoRR Samuel Dooley, Tom Goldstein, John P. Dickerson
2021	J	`jnl`	SIGAI annual report: July 1 2020 - June 30 2021. AI Matters Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne, Alan Tsang
2021	A*	`conf`	Scalable Equilibrium Computation in Multi-agent Influence Games on Networks. AAAI Fotini Christia, Michael J. Curry, Constantinos Daskalakis, Erik D. Demaine, John P. Dickerson, MohammadTaghi Hajiaghayi, Adam Hesterberg, Marina Knittel, Aidan Milliff
2021	J	`jnl`	Technical Challenges for Training Fair Neural Networks. CoRR Valeriia Cherepanova, Vedant Nanda, Micah Goldblum, John P. Dickerson, Tom Goldstein
2021	J	`jnl`	User-Driven Programming Support for Rapid Visualization Authoring in D3. CoRR Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, John P. Dickerson, Leilani Battle
2021	J	`jnl`	Using Inverse Optimization to Learn Cost Functions in Generalized Nash Games. CoRR Stephanie Allen, John P. Dickerson, Steven A. Gabriel
2021	J	`jnl`	VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization. CoRR Mucong Ding, Kezhi Kong, Jingling Li, Chen Zhu, John P. Dickerson, Furong Huang, Tom Goldstein
2020	A*	`conf`	A Pairwise Fair and Community-preserving Approach to k-Center Clustering. ICML Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas
2020	J	`jnl`	A Pairwise Fair and Community-preserving Approach to k-Center Clustering. CoRR Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Samir Khuller, Aravind Srinivasan, Leonidas Tsepenekas
2020	J	`jnl`	AAAI/ACM SIGAI job fair 2020: a retrospective. AI Matters Michael Albert, John P. Dickerson
2020	J	`jnl`	Adapting a Kidney Exchange Algorithm to Align with Human Values. CoRR Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
2020	J	`jnl`	Adapting a kidney exchange algorithm to align with human values. Artif. Intell. Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
2020	A*	`conf`	An Algorithm for Multi-Attribute Diverse Matching. IJCAI Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller
2020	C	`conf`	Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making. AIES Lok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong
2020	J	`jnl`	Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making. CoRR Lok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong
2020	A*	`conf`	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours. AAAI Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan
2020	C	`conf`	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours. AIES Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan
2020	J	`jnl`	Can an Algorithm be My Healthcare Proxy? CoRR Duncan C. McElfresh, Samuel Dooley, Yuan Cui, Kendra Griesman, Weiqin Wang, Tyler Will, Neil Sehgal, John P. Dickerson
2020	J	`jnl`	Certifying Strategyproof Auction Networks. CoRR Michael J. Curry, Ping-Yeh Chiang, Tom Goldstein, John P. Dickerson
2020	A*	`conf`	Clearing Kidney Exchanges via Graph Neural Network Guided Tree Search (Student Abstract). AAAI Zeyu Zhao, John P. Dickerson
2020	J	`jnl`	Counterfactual Explanations for Machine Learning: A Review. CoRR Sahil Verma, John P. Dickerson, Keegan Hines
2020	—	`conf`	Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. ECCV Workshops (1) Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
2020	J	`jnl`	Detection as Regression: Certified Object Detection by Median Smoothing. CoRR Ping-Yeh Chiang, Michael J. Curry, Ahmed Abdelkader, Aounon Kumar, John P. Dickerson, Tom Goldstein
2020	J	`jnl`	Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. CoRR Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
2020	C	`conf`	Human Comprehension of Fairness in Machine Learning. AIES Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
2020	J	`jnl`	Human Comprehension of Fairness in Machine Learning. CoRR Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
2020	J	`jnl`	Ignorance Is Almost Bliss: Near-Optimal Stochastic Matching with Few Queries. Oper. Res. Avrim Blum, John P. Dickerson, Nika Haghtalab, Ariel D. Procaccia, Tuomas Sandholm, Ankit Sharma
2020	J	`jnl`	Improving Policy-Constrained Kidney Exchange via Pre-Screening. CoRR Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John P. Dickerson
2020	J	`jnl`	Indecision Modeling. CoRR Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson
2020	J	`jnl`	Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks. CoRR Avi Schwarzschild, Micah Goldblum, Arjun Gupta, John P. Dickerson, Tom Goldstein
2020	J	`jnl`	Kidney Exchange with Inhomogeneous Edge Existence Uncertainty. CoRR Hoda Bidkhori, John P. Dickerson, Duncan C. McElfresh, Ke Ren
2020	A*	`conf`	Matching Algorithms for Blood Donation. EC Duncan C. McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Abinav Sankararaman, Zack Chauvin, Neil Dexter, John P. Dickerson
2020	A*	`conf`	Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics. ICML Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
2020	J	`jnl`	Noisy Labels Can Induce Good Representations. CoRR Jingling Li, Mozhi Zhang, Keyulu Xu, John P. Dickerson, Jimmy Ba
2020	J	`jnl`	Probabilistic Fair Clustering. CoRR Seyed A. Esmaeili, Brian Brubach, Leonidas Tsepenekas, John P. Dickerson
2020	J	`jnl`	ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning. CoRR Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-Yeh Chiang, Tom Goldstein, John P. Dickerson
2020	J	`jnl`	SIGAI annual report: July 1 2019 - June 30 2020. AI Matters Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne
2020	J	`jnl`	The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers. CoRR Samuel Dooley, John P. Dickerson
2020	J	`jnl`	Unifying Model Explainability and Robustness via Machine-Checkable Concepts. CoRR Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar
2020	A*	`conf`	Universal Adversarial Training. AAAI Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein
2020	A	`conf`	We Need Fairness and Explainability in Algorithmic Hiring. AAMAS Candice Schumann, Jeffrey S. Foster, Nicholas Mattei, John P. Dickerson
2019	A*	`conf`	A Unified Approach to Online Matching with Conflict-Aware Constraints. AAAI Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas
2019	J	`jnl`	AAAI/ACM SIGAI job fair 2019: a retrospective. AI Matters Christopher Amato, John P. Dickerson
2019	J	`jnl`	ACM SIGAI activity report. AI Matters 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
2019	J	`jnl`	Adversarial Training for Free! CoRR Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein
2019	A*	`conf`	Adversarial training for free! NeurIPS Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John P. Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein
2019	J	`jnl`	Algorithms for Optimal Diverse Matching. CoRR Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller
2019	A*	`conf`	Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity. AAAI John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu
2019	J	`jnl`	Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms During High-Demand Hours. CoRR Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan
2019	A	`conf`	Batch-wise Logit-Similarity: Generalizing Logit-Squeezing and Label-Smoothing. BMVC Ali Shafahi, Amin Ghiasi, Mahyar Najibi, Furong Huang, John P. Dickerson, Tom Goldstein
2019	J	`jnl`	Failure-Aware Kidney Exchange. Manag. Sci. John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm
2019	J	`jnl`	Group Fairness in Bandit Arm Selection. CoRR Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson
2019	A*	`conf`	Making the Cut: A Bandit-based Approach to Tiered Interviewing. NeurIPS Candice Schumann, Zhi Lang, Jeffrey S. Foster, John P. Dickerson
2019	J	`jnl`	Making the Cut: A Bandit-based Approach to Tiered Interviewing. CoRR Candice Schumann, Zhi Lang, Jeffrey S. Foster, John P. Dickerson
2019	J	`jnl`	Mix and Match: Markov Chains & Mixing Times for Matching in Rideshare. CoRR Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu
2019	—	`conf`	Mix and Match: Markov Chains and Mixing Times for Matching in Rideshare. WINE Michael J. Curry, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yuhao Wan, Pan Xu
2019	A	`conf`	Online Resource Allocation with Matching Constraints. AAMAS John P. Dickerson, Karthik Abinav Sankararaman, Kanthi Kiran Sarpatwar, Aravind Srinivasan, Kun-Lung Wu, Pan Xu
2019	A*	`conf`	Scalable Robust Kidney Exchange. AAAI Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson
2019	J	`jnl`	Strong Baseline Defenses Against Clean-Label Poisoning Attacks. CoRR Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
2019	A	`conf`	The Diverse Cohort Selection Problem. AAMAS Candice Schumann, Samsara N. Counts, Jeffrey S. Foster, John P. Dickerson
2018	Misc	`conf`	A Muffin-Theorem Generator. FUN Guangqi Cui, John P. Dickerson, Naveen Durvasula, William Gasarch, Erik Metz, Jacob Prinz, Naveen Raman, Daniel Smolyak, Sung Hyun Yoo
2018	J	`jnl`	AAAI/ACM SIGAI job fair 2018: a retrospective. AI Matters John P. Dickerson, Nicholas Mattei
2018	J	`jnl`	ACM SIGAI activity report. AI Matters 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
2018	A*	`conf`	Adapting a Kidney Exchange Algorithm to Align With Human Values. AAAI Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
2018	C	`conf`	Adapting a Kidney Exchange Algorithm to Align with Human Values. AIES Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
2018	A*	`conf`	Allocation Problems in Ride-Sharing Platforms: Online Matching With Offline Reusable Resources. AAAI John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu
2018	A	`conf`	Assigning Tasks to Workers based on Historical Data: Online Task Assignment with Two-sided Arrivals. AAMAS John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu
2018	A*	`conf`	Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. AAAI Duncan C. McElfresh, John P. Dickerson
2018	A*	`conf`	Balancing Lexicographic Fairness and a Utilitarian Objective With Application to Kidney Exchange. AAAI Duncan C. McElfresh, John P. Dickerson
2018	—	`conf`	Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange. AAAI Workshops Duncan C. McElfresh, John P. Dickerson
2018	J	`jnl`	Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity. CoRR John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu
2018	J	`jnl`	Dancing Pigs or Externalities? Measuring the Rationality of Security Decisions. CoRR Elissa M. Redmiles, Michelle L. Mazurek, John P. Dickerson
2018	A*	`conf`	Dancing Pigs or Externalities?: Measuring the Rationality of Security Decisions. EC Elissa M. Redmiles, Michelle L. Mazurek, John P. Dickerson
2018	A*	`conf`	Equilibrium Behavior in Competing Dynamic Matching Markets. IJCAI Zhuoshu Li, Neal Gupta, Sanmay Das, John P. Dickerson
2018	A*	`conf`	Equitable Security: Optimizing Distribution of Nudges and Resources. CCS Elissa M. Redmiles, John P. Dickerson, Krishna P. Gummadi, Michelle L. Mazurek
2018	J	`jnl`	Scalable Robust Kidney Exchange. CoRR Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson
2018	J	`jnl`	Universal Adversarial Training. CoRR Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein
2017	J	`jnl`	Allocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources. CoRR John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu
2017	J	`jnl`	Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange. CoRR Duncan C. McElfresh, John P. Dickerson
2017	A*	`conf`	Diverse Weighted Bipartite b-Matching. IJCAI Faez Ahmed, John P. Dickerson, Mark D. Fuge
2017	J	`jnl`	Diverse Weighted Bipartite b-Matching. CoRR Faez Ahmed, John P. Dickerson, Mark D. Fuge
2017	—	`conf`	Inter-Club Kidney Exchange. AAAI Workshops Gabriele Farina, John P. Dickerson, Tuomas Sandholm
2017	J	`jnl`	Learning to Schedule Deadline- and Operator-Sensitive Tasks. CoRR Hanan Rosemarin, John P. Dickerson, Sarit Kraus
2017	J	`jnl`	Multi-Organ Exchange. J. Artif. Intell. Res. John P. Dickerson, Tuomas Sandholm
2017	A*	`conf`	Operation Frames and Clubs in Kidney Exchange. IJCAI Gabriele Farina, John P. Dickerson, Tuomas Sandholm
2017	J	`jnl`	Operation Frames and Clubs in Kidney Exchange. CoRR Gabriele Farina, John P. Dickerson, Tuomas Sandholm
2017	A*	`conf`	Small Representations of Big Kidney Exchange Graphs. AAAI John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm
2017	—	`conf`	Small Representations of Big Kidney Exchange Graphs. AAAI Workshops John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm
2017	J	`jnl`	The Diverse Cohort Selection Problem: Multi-Armed Bandits with Varied Pulls. CoRR Candice Schumann, Samsara N. Counts, Jeffrey S. Foster, John P. Dickerson
2016	A*	`conf`	Fast Optimal Clearing of Capped-Chain Barter Exchanges. AAAI Benjamin Plaut, John P. Dickerson, Tuomas Sandholm
2016	J	`jnl`	Hardness of the Pricing Problem for Chains in Barter Exchanges. CoRR Benjamin Plaut, John P. Dickerson, Tuomas Sandholm
2016	A*	`conf`	Position-Indexed Formulations for Kidney Exchange. EC John P. Dickerson, David F. Manlove, Benjamin Plaut, Tuomas Sandholm, James Trimble
2016	J	`jnl`	Position-Indexed Formulations for Kidney Exchange. CoRR John P. Dickerson, David F. Manlove, Benjamin Plaut, Tuomas Sandholm, James Trimble
2016	J	`jnl`	Small Representations of Big Kidney Exchange Graphs. CoRR John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm
2015	J	`jnl`	Automated Generation of Counterterrorism Policies Using Multiexpert Input. ACM Trans. Intell. Syst. Technol. Anshul Sawant, John P. Dickerson, Mohammad Taghi Hajiaghayi, V. S. Subrahmanian
2015	A*	`conf`	FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments. AAAI John P. Dickerson, Tuomas Sandholm
2015	A*	`conf`	Ignorance is Almost Bliss: Near-Optimal Stochastic Matching With Few Queries. EC Avrim Blum, John P. Dickerson, Nika Haghtalab, Ariel D. Procaccia, Tuomas Sandholm, Ankit Sharma
2015	A*	`conf`	Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism. AAAI Chen Hajaj, John P. Dickerson, Avinatan Hassidim, Tuomas Sandholm, David Sarne
2014	B	`conf`	Endogenously- but not Exogenously-driven Selective Sustained Attention is Related to Learning in a Classroom-like Setting in Kindergarten Children. CogSci Lucy Erickson, Erik D. Thiessen, Karrie E. Godwin, John P. Dickerson, Anna V. Fisher
2014	—	`conf`	Forecasting Country Stability in North Africa. JISIC Steven Banaszak, Elizabeth K. Bowman, John P. Dickerson, V. S. Subrahmanian
2014	A*	`conf`	Multi-Organ Exchange: The Whole Is Greater than the Sum of its Parts. AAAI John P. Dickerson, Tuomas Sandholm
2014	A	`conf`	Price of fairness in kidney exchange. AAMAS John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm
2014	A	`conf`	Robust dynamic optimization with application to kidney exchange. AAMAS John P. Dickerson
2014	A*	`conf`	The Computational Rise and Fall of Fairness. AAAI John P. Dickerson, Jonathan R. Goldman, Jeremy Karp, Ariel D. Procaccia, Tuomas Sandholm
2014	B	`conf`	Using sentiment to detect bots on Twitter: Are humans more opinionated than bots? ASONAM John P. Dickerson, Vadim Kagan, V. S. Subrahmanian
2013	A*	`conf`	Failure-aware kidney exchange. EC John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm
2013	B	`conf`	PREVE: a policy recommendation engine based on vector equilibria applied to reducing LeT's attacks. ASONAM John P. Dickerson, Anshul Sawant, Mohammad Taghi Hajiaghayi, V. S. Subrahmanian
2013	J	`jnl`	Parallel Abductive Query Answering in Probabilistic Logic Programs. ACM Trans. Comput. Log. Gerardo I. Simari, John P. Dickerson, Amy Sliva, V. S. Subrahmanian
2012	J	`jnl`	Adversarial Geospatial Abduction Problems. ACM Trans. Intell. Syst. Technol. Paulo Shakarian, John P. Dickerson, V. S. Subrahmanian
2012	A*	`conf`	Dynamic Matching via Weighted Myopia with Application to Kidney Exchange. AAAI John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm
2012	A	`conf`	Optimizing kidney exchange with transplant chains: theory and reality. AAMAS John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm
2012	J	`jnl`	Speeding Up Particle Trajectory Simulations Under Moving Force Fields using Graphic Processing Units. J. Comput. Inf. Sci. Eng. Robert Patro, John P. Dickerson, Sujal Bista, Satyandra K. Gupta, Amitabh Varshney
2011	—	`conf`	Dealing with Lashkar-e-Taiba: A Multi-player Game-Theoretic Perspective. EISIC John P. Dickerson, Aaron Mannes, V. S. Subrahmanian
2010	A	`conf`	A graph-theoretic approach to protect static and moving targets from adversaries. AAMAS John P. Dickerson, Gerardo I. Simari, V. S. Subrahmanian, Sarit Kraus
2010	—	`conf`	Cost-Based Query Answering in Action Probabilistic Logic Programs. SUM Gerardo I. Simari, John P. Dickerson, V. S. Subrahmanian