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David C. Parkes
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- affiliation: Harvard University, School of Engineering and Applied Science
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2020 – today
- 2023
- [c186]Yaniv Yacoby
, John Girash
, David C. Parkes
:
Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health. SIGCSE (1) 2023: 694-700 - [c185]Matheus Venturyne Xavier Ferreira, David C. Parkes:
Credible Decentralized Exchange Design via Verifiable Sequencing Rules. STOC 2023: 723-736 - [c184]Xintong Wang
, Gary Qiurui Ma
, Alon Eden
, Clara Li
, Alexander Trott
, Stephan Zheng
, David C. Parkes
:
Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study. WWW 2023: 3592-3602 - [i74]Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti:
Generative Adversarial Equilibrium Solvers. CoRR abs/2302.06607 (2023) - [i73]Manuel Wuthrich, Mark York, David C. Parkes:
Eliciting Information from participants with Competing Incentives and Dependent Beliefs. CoRR abs/2302.14122 (2023) - 2022
- [j53]Hongyao Ma
, Fei Fang
, David C. Parkes
:
Spatio-Temporal Pricing for Ridesharing Platforms. Oper. Res. 70(2): 1025-1041 (2022) - [j52]Rediet Abebe, T.-H. Hubert Chan, Jon M. Kleinberg, Zhibin Liang, David C. Parkes, Mauro Sozio, Charalampos E. Tsourakakis
:
Opinion Dynamics Optimization by Varying Susceptibility to Persuasion via Non-Convex Local Search. ACM Trans. Knowl. Discov. Data 16(2): 33:1-33:34 (2022) - [c183]Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren:
Reinforcement Learning Explainability via Model Transforms (Student Abstract). AAAI 2022: 12943-12944 - [c182]Zhou Fan, Francisco J. Marmolejo Cossío, Ben Altschuler, He Sun, Xintong Wang, David C. Parkes:
Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design✱. ICAIF 2022: 9-17 - [c181]Matthias Gerstgrasser, Rakshit Trivedi, David C. Parkes:
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning. ICLR 2022 - [c180]Gianluca Brero, Eric Mibuari, Nicolas Lepore, David C. Parkes:
Learning to Mitigate AI Collusion on Economic Platforms. NeurIPS 2022 - [c179]Mira Finkelstein, Nitsan Levy Schlot, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenschein, Sarah Keren:
Explainable Reinforcement Learning via Model Transforms. NeurIPS 2022 - [p1]Rose E. Wang, Sarah A. Wu, James A. Evans, David C. Parkes, Joshua B. Tenenbaum, Max Kleiman-Weiner:
Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration. Human-Like Machine Intelligence 2022: 152-170 - [i72]Gianluca Brero, Nicolas Lepore, Eric Mibuari, David C. Parkes:
Learning to Mitigate AI Collusion on Economic Platforms. CoRR abs/2202.07106 (2022) - [i71]Xintong Wang, Gary Qiurui Ma, Alon Eden, Clara Li, Alexander Trott, Stephan Zheng, David C. Parkes:
Using Reinforcement Learning to Study Platform Economies under Market Shocks. CoRR abs/2203.13395 (2022) - [i70]Zhou Fan, Francisco J. Marmolejo Cossío, Ben Altschuler, He Sun, Xintong Wang, David C. Parkes:
Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design. CoRR abs/2204.00464 (2022) - [i69]Jamelle Watson-Daniels, David C. Parkes, Berk Ustun:
Predictive Multiplicity in Probabilistic Classification. CoRR abs/2206.01131 (2022) - [i68]Yaniv Yacoby, John Girash, David C. Parkes:
Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health. CoRR abs/2208.12650 (2022) - [i67]Mira Finkelstein, Lucy Liu, Nitsan Levy Schlot, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren:
Explainable Reinforcement Learning via Model Transforms. CoRR abs/2209.12006 (2022) - [i66]Matheus V. X. Ferreira, David C. Parkes:
Credible Decentralized Exchange Design via Verifiable Sequencing Rules. CoRR abs/2209.15569 (2022) - [i65]Gianluca Brero, Alon Eden, Darshan Chakrabarti, Matthias Gerstgrasser, Vincent Li, David C. Parkes:
Learning Stackelberg Equilibria and Applications to Economic Design Games. CoRR abs/2210.03852 (2022) - [i64]Matthias Gerstgrasser, David C. Parkes:
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning. CoRR abs/2210.11942 (2022) - [i63]Zhun Deng, He Sun, Zhiwei Steven Wu, Linjun Zhang, David C. Parkes:
Reinforcement Learning with Stepwise Fairness Constraints. CoRR abs/2211.03994 (2022) - [i62]Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller:
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. CoRR abs/2211.06318 (2022) - 2021
- [j51]Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath:
Optimal auctions through deep learning. Commun. ACM 64(8): 109-116 (2021) - [j50]David C. Parkes
:
Playing with symmetry with neural networks. Nat. Mach. Intell. 3(8): 658 (2021) - [j49]Sarah A. Wu, Rose E. Wang, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration. Top. Cogn. Sci. 13(2): 414-432 (2021) - [c178]Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo:
Reinforcement Learning of Sequential Price Mechanisms. AAAI 2021: 5219-5227 - [c177]Matheus V. X. Ferreira, Daniel J. Moroz, David C. Parkes, Mitchell Stern:
Dynamic posted-price mechanisms for the blockchain transaction-fee market. AFT 2021: 86-99 - [c176]Paul Tylkin, Goran Radanovic, David C. Parkes:
Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments. AAMAS 2021: 1686-1688 - [c175]Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, David C. Parkes:
Learning Representations by Humans, for Humans. ICML 2021: 4227-4238 - [c174]Matheus V. X. Ferreira, Daniel J. Moroz, David C. Parkes, Mitchell Stern:
Dynamic Posted-Price Mechanisms for the Blockchain Transaction Fee Market (Invited Talk). Tokenomics 2021: 6:1-6:1 - [c173]Vincent Conitzer, Zhe Feng, David C. Parkes, Eric Sodomka:
Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss. WINE 2021: 76-94 - [c172]Mark York, Munther A. Dahleh, David C. Parkes:
Eliciting Social Knowledge for Creditworthiness Assessment. WINE 2021: 428-445 - [i61]Michael Neuder, Daniel J. Moroz, Rithvik Rao, David C. Parkes:
Low-cost attacks on Ethereum 2.0 by sub-1/3 stakeholders. CoRR abs/2102.02247 (2021) - [i60]Matheus V. X. Ferreira, Daniel J. Moroz, David C. Parkes, Mitchell Stern:
Dynamic Posted-Price Mechanisms for the Blockchain Transaction-Fee Market. CoRR abs/2103.14144 (2021) - [i59]Michael Neuder, Rithvik Rao, Daniel J. Moroz, David C. Parkes:
Strategic Liquidity Provision in Uniswap v3. CoRR abs/2106.12033 (2021) - [i58]Sai Srivatsa Ravindranath, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers, David C. Parkes:
Deep Learning for Two-Sided Matching. CoRR abs/2107.03427 (2021) - [i57]Stephan Zheng, Alexander Trott, Sunil Srinivasa, David C. Parkes, Richard Socher:
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning. CoRR abs/2108.02755 (2021) - [i56]Mark York, Munther A. Dahleh, David C. Parkes:
Eliciting Social Knowledge for Creditworthiness Assessment. CoRR abs/2108.09289 (2021) - 2020
- [j48]Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic
, David C. Parkes, Yang Liu:
How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations. Artif. Intell. 283: 103238 (2020) - [j47]Haris Aziz
, Hau Chan, Barton E. Lee
, David C. Parkes:
The capacity constrained facility location problem. Games Econ. Behav. 124: 478-490 (2020) - [j46]Hongyao Ma, Fei Fang, David C. Parkes:
Spatio-temporal pricing for ridesharing platforms. SIGecom Exch. 18(2): 53-57 (2020) - [j45]Arpit Agarwal, Debmalya Mandal, David C. Parkes, Nisarg Shah:
Peer Prediction with Heterogeneous Users. ACM Trans. Economics and Comput. 8(1): 2:1-2:34 (2020) - [j44]Malvika Rao
, David F. Bacon, David C. Parkes, Margo I. Seltzer:
Incentivizing Deep Fixes in Software Economies. IEEE Trans. Software Eng. 46(1): 51-70 (2020) - [c171]Debmalya Mandal, Goran Radanovic, David C. Parkes:
The Effectiveness of Peer Prediction in Long-Term Forecasting. AAAI 2020: 2160-2167 - [c170]Sarah Keren, Haifeng Xu, Kofi Kwapong, David C. Parkes, Barbara J. Grosz:
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents. AAAI 2020: 9908-9915 - [c169]Michael Neuder, Daniel J. Moroz, Rithvik Rao, David C. Parkes:
Defending Against Malicious Reorgs in Tezos Proof-of-Stake. AFT 2020: 46-58 - [c168]Hongyao Ma, Reshef Meir, David C. Parkes, Elena Wu-Yan:
Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias. AAMAS 2020: 807-815 - [c167]Hau Chan, David C. Parkes, Karim R. Lakhani:
The Price of Anarchy of Self-Selection in Tullock Contests. AAMAS 2020: 1795-1797 - [c166]Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning. AAMAS 2020: 2032-2034 - [c165]Sarah A. Wu, Rose E. Wang, James A. Evans, Josh Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too many cooks: Coordinating multi-agent collaboration through inverse planning. CogSci 2020 - [c164]Zhe Feng, David C. Parkes, Haifeng Xu:
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation. ICML 2020: 3092-3101 - [c163]Sarah Keren, Sara Bernardini, Kofi Kwapong, David C. Parkes:
Reasoning About Plan Robustness Versus Plan Cost for Partially Informed Agents. KR 2020: 550-559 - [c162]Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes:
From Predictions to Decisions: Using Lookahead Regularization. NeurIPS 2020 - [c161]Nir Rosenfeld, Aron Szanto, David C. Parkes:
A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone. WWW 2020: 1018-1028 - [i55]Nir Rosenfeld, Aron Szanto, David C. Parkes:
A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone. CoRR abs/2002.00850 (2020) - [i54]Daniel J. Moroz, Daniel J. Aronoff, Neha Narula, David C. Parkes:
Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems. CoRR abs/2002.10736 (2020) - [i53]Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too many cooks: Coordinating multi-agent collaboration through inverse planning. CoRR abs/2003.11778 (2020) - [i52]Stephan Zheng, Alexander Trott, Sunil Srinivasa, Nikhil Naik, Melvin Gruesbeck, David C. Parkes, Richard Socher:
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies. CoRR abs/2004.13332 (2020) - [i51]Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes:
From Predictions to Decisions: Using Lookahead Regularization. CoRR abs/2006.11638 (2020) - [i50]Vincent Conitzer, Zhe Feng, David C. Parkes, Eric Sodomka:
Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss. CoRR abs/2007.09579 (2020) - [i49]Michael Neuder, Daniel J. Moroz, Rithvik Rao, David C. Parkes:
Defending Against Malicious Reorgs in Tezos Proof-of-Stake. CoRR abs/2009.05413 (2020) - [i48]He Sun, Zhun Deng, Hui Chen, David C. Parkes:
Decision-Aware Conditional GANs for Time Series Data. CoRR abs/2009.12682 (2020) - [i47]Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo:
Reinforcement Learning of Simple Indirect Mechanisms. CoRR abs/2010.01180 (2020) - [i46]Rediet Abebe, T.-H. Hubert Chan, Jon M. Kleinberg, Zhibin Liang, David C. Parkes, Mauro Sozio, Charalampos E. Tsourakakis:
Opinion Dynamics with Varying Susceptibility to Persuasion via Non-Convex Local Search. CoRR abs/2011.02583 (2020) - [i45]Ian T. Foster, David C. Parkes, Stephan Zheng:
The Rise of AI-Driven Simulators: Building a New Crystal Ball. CoRR abs/2012.06049 (2020)
2010 – 2019
- 2019
- [j43]Paul Dütting
, Felix A. Fischer
, David C. Parkes
:
Expressiveness and Robustness of First-Price Position Auctions. Math. Oper. Res. 44(1): 196-211 (2019) - [j42]Iyad Rahwan, Manuel Cebrián, Nick Obradovich
, Josh C. Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson
, Nicholas R. Jennings
, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex 'Sandy' Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael P. Wellman
:
Machine behaviour. Nat. 568(7753): 477-486 (2019) - [c160]Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic:
Bayesian Fairness. AAAI 2019: 509-516 - [c159]Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu:
How Do Fairness Definitions Fare?: Examining Public Attitudes Towards Algorithmic Definitions of Fairness. AIES 2019: 99-106 - [c158]Hongyao Ma, Reshef Meir, David C. Parkes, James Y. Zou:
Contingent Payment Mechanisms for Resource Utilization. AAMAS 2019: 422-430 - [c157]Hongyao Ma, Fei Fang, David C. Parkes:
Spatio-Temporal Pricing for Ridesharing Platforms. EC 2019: 583 - [c156]Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath:
Optimal Auctions through Deep Learning. ICML 2019: 1706-1715 - [c155]Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla
:
Learning to Collaborate in Markov Decision Processes. ICML 2019: 5261-5270 - [c154]Berk Ustun, Yang Liu, David C. Parkes:
Fairness without Harm: Decoupled Classifiers with Preference Guarantees. ICML 2019: 6373-6382 - [c153]Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, David C. Parkes:
Ridesharing with Driver Location Preferences. IJCAI 2019: 557-564 - [c152]Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Josh Tenenbaum:
Finding Friend and Foe in Multi-Agent Games. NeurIPS 2019: 1249-1259 - [c151]Haris Aziz, Hau Chan, Barton E. Lee, David C. Parkes:
The Capacity Constrained Facility Location Problem. WINE 2019: 336 - [i44]Gregory D. Hager, Ann W. Drobnis
, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, Milind Tambe:
Artificial Intelligence for Social Good. CoRR abs/1901.05406 (2019) - [i43]Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla:
Learning to Collaborate in Markov Decision Processes. CoRR abs/1901.08029 (2019) - [i42]Debmalya Mandal, David C. Parkes:
Weighted Tensor Completion for Time-Series Causal Inference. CoRR abs/1902.04646 (2019) - [i41]Sophie Hilgard, Nir Rosenfeld, Mahzarin R. Banaji, Jack Cao, David C. Parkes:
Learning Representations by Humans, for Humans. CoRR abs/1905.12686 (2019) - [i40]Duncan Rheingans-Yoo, Scott Duke Kominers, Hongyao Ma, David C. Parkes:
Ridesharing with Driver Location Preferences. CoRR abs/1905.13191 (2019) - [i39]Zhe Feng, David C. Parkes, Haifeng Xu:
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation. CoRR abs/1906.01528 (2019) - [i38]Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Joshua B. Tenenbaum:
Finding Friend and Foe in Multi-Agent Games. CoRR abs/1906.02330 (2019) - [i37]Hongyao Ma, Reshef Meir, David C. Parkes, Elena Wu-Yan:
Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present Bias. CoRR abs/1906.09713 (2019) - [i36]David C. Parkes, Rakesh V. Vohra, et al.:
Algorithmic and Economic Perspectives on Fairness. CoRR abs/1909.05282 (2019) - [i35]Michael Neuder, Daniel J. Moroz, Rithvik Rao, David C. Parkes:
Selfish Behavior in the Tezos Proof-of-Stake Protocol. CoRR abs/1912.02954 (2019) - 2018
- [j41]David C. Parkes:
Technical perspective: Moving spectrum. Commun. ACM 61(1): 96 (2018) - [c150]Reshef Meir, David C. Parkes:
Playing the Wrong Game: Bounding Externalities in Diverse Populations of Agents. AAMAS 2018: 86-94 - [c149]Zhe Feng, Harikrishna Narasimhan, David C. Parkes:
Deep Learning for Revenue-Optimal Auctions with Budgets. AAMAS 2018: 354-362 - [c148]Noah Golowich, Harikrishna Narasimhan, David C. Parkes:
Deep Learning for Multi-Facility Location Mechanism Design. IJCAI 2018: 261-267 - [c147]Rediet Abebe, Jon M. Kleinberg, David C. Parkes, Charalampos E. Tsourakakis
:
Opinion Dynamics with Varying Susceptibility to Persuasion. KDD 2018: 1089-1098 - [c146]Jean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, Edoardo M. Airoldi:
Optimizing Cluster-based Randomized Experiments under Monotonicity. KDD 2018: 2090-2099 - [c145]Hongyao Ma, Reshef Meir, David C. Parkes:
Social Choice with Non Quasi-linear Utilities. EC 2018: 49 - [i34]Hongyao Ma, Fei Fang, David C. Parkes:
Spatio-Temporal Pricing for Ridesharing Platforms. CoRR abs/1801.04015 (2018) - [i33]Rediet Abebe, Jon M. Kleinberg, David C. Parkes, Charalampos E. Tsourakakis:
Opinion Dynamics with Varying Susceptibility to Persuasion. CoRR abs/1801.07863 (2018) - [i32]Hongyao Ma, Reshef Meir, David C. Parkes:
Social Choice with Non Quasi-linear Utilities. CoRR abs/1804.02268 (2018) - [i31]Haris Aziz, Hau Chan, Barton E. Lee, David C. Parkes:
Mechanism Design without Money for Common Goods. CoRR abs/1806.00960 (2018) - [i30]Nripsuta Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu:
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness. CoRR abs/1811.03654 (2018) - 2017
- [j40]Ehud Kalai, Marco Battaglini
, Gary Charness, Vincent P. Crawford
, Françoise Forges, David C. Parkes, Jennifer Byrd:
Introduction to the John Forbes Nash Jr. Memorial Special Issue. Games Econ. Behav. 103: 1-18 (2017) - [c144]David C. Parkes:
On AI, Markets and Machine Learning. AAMAS 2017: 2 - [c143]David C. Parkes, Paul Tylkin, Lirong Xia:
Thwarting Vote Buying Through Decoy Ballots - Extended Version. AAMAS Workshops (Visionary Papers) 2017: 45-66 - [c142]Hongyao Ma, David C. Parkes, Valentin Robu:
Generalizing Demand Response Through Reward Bidding. AAMAS 2017: 60-68 - [c141]Rediet Abebe, Jon M. Kleinberg, David C. Parkes:
Fair Division via Social Comparison. AAMAS 2017: 281-289 - [c140]David C. Parkes, Paul Tylkin, Lirong Xia:
Thwarting Vote Buying Through Decoy Ballots. AAMAS 2017: 1679-1681 - [c139]David C. Parkes, Paul Tylkin, Lirong Xia:
Thwarting Vote Buying Through Decoy Ballots. IJCAI 2017: 3784-3790 - [c138]Christos Dimitrakakis, David C. Parkes, Goran Radanovic, Paul Tylkin:
Multi-View Decision Processes: The Helper-AI Problem. NIPS 2017: 5443-5452 - [c137]Arpit Agarwal, Debmalya Mandal, David C. Parkes, Nisarg Shah:
Peer Prediction with Heterogeneous Users. EC 2017: 81-98 - [i29]Christos Dimitrakakis
, Yang Liu, David C. Parkes, Goran Radanovic:
Subjective fairness: Fairness is in the eye of the beholder. CoRR abs/1706.00119 (2017) - [i28]Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes:
Optimal Auctions through Deep Learning. CoRR abs/1706.03459 (2017) - [i27]Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes:
Calibrated Fairness in Bandits. CoRR abs/1707.01875 (2017) - 2016
- [c136]Brandon K. Liu, David C. Parkes, Sven Seuken:
Personalized Hitting Time for Informative Trust Mechanisms Despite Sybils. AAMAS 2016: 1124-1132 - [c135]Victor Shnayder, David C. Parkes:
Practical Peer Prediction for Peer Assessment. HCOMP 2016: 199-208 - [c134]Hongyao Ma, Reshef Meir, David C. Parkes:
Social Choice for Agents with General Utilities. IJCAI 2016: 345-351 - [c133]Hongyao Ma, Valentin Robu, Na Li, David C. Parkes:
Incentivizing Reliability in Demand-Side Response. IJCAI 2016: 352-358 - [c132]Debmalya Mandal, David C. Parkes:
Correlated Voting. IJCAI 2016: 366-372 - [c131]Reshef Meir, David C. Parkes:
When are Marginal Congestion Tolls Optimal? ATT@IJCAI 2016 - [c130]Harikrishna Narasimhan, Shivani Agarwal, David C. Parkes:
Automated Mechanism Design without Money via Machine Learning. IJCAI 2016: 433-439 - [c129]Victor Shnayder, Rafael M. Frongillo, David C. Parkes:
Measuring Performance of Peer Prediction Mechanisms Using Replicator Dynamics. IJCAI 2016: 2611-2617 - [c128]Panagiotis Toulis, David C. Parkes:
Long-term Causal Effects via Behavioral Game Theory. NIPS 2016: 2604-2612 - [c127]Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo
, David C. Parkes:
Informed Truthfulness in Multi-Task Peer Prediction. EC 2016: 179-196 - [c126]Paul Dütting, Felix A. Fischer, David C. Parkes:
Truthful Outcomes from Non-Truthful Position Auctions. EC 2016: 813 - [c125]Harikrishna Narasimhan, David C. Parkes:
A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms. UAI 2016 - [i26]Paul Dütting, Felix A. Fischer, David C. Parkes:
Truthful Outcomes from Non-Truthful Position Auctions. CoRR abs/1602.07593 (2016) - [i25]Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, David C. Parkes:
Informed Truthfulness in Multi-Task Peer Prediction. CoRR abs/1603.03151 (2016) - [i24]