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2020 – today
- 2025
[e6]Sanmay Das, Brian Patrick Green:
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Student Abstracts, October 21-23, 2024, San Jose, California, USA - Volume 2. AAAI Press 2025 [contents]- 2024
- [j26]Angeela Acharya
, Sulabh Shrestha, Anyi Chen, Joseph Conte, Sanja Avramovic, Siddhartha Sikdar, Antonios Anastasopoulos, Sanmay Das:
Clinical risk prediction using language models: benefits and considerations. J. Am. Medical Informatics Assoc. 31(9): 1856-1864 (2024) - [c66]Gaurab Pokharel, Sanmay Das, Patrick J. Fowler:
Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning. AAAI 2024: 22303-22312 - [c65]Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik:
Geospatial Active Search for Preventing Evictions. AAMAS 2024: 2456-2458 - [c64]Tasfia Mashiat, Alex DiChristofano, Patrick J. Fowler, Sanmay Das:
Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Action. FAccT 2024: 1383-1394 - [c63]Andrew Estornell, Tina Zhang, Sanmay Das, Chien-Ju Ho, Brendan Juba, Yevgeniy Vorobeychik:
The Impact of Features Used by Algorithms on Perceptions of Fairness. IJCAI 2024: 376-384 - [e5]Sanmay Das, Brian Patrick Green, Kush Varshney, Marianna Ganapini, Andrea Renda:
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA - Volume 1. AAAI Press 2024 [contents] - [i19]Tasfia Mashiat, Alex DiChristofano, Patrick J. Fowler, Sanmay Das:
Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Action. CoRR abs/2401.16440 (2024) - [i18]Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik:
Active Geospatial Search for Efficient Tenant Eviction Outreach. CoRR abs/2412.17854 (2024) - 2023
- [j25]Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck:
SIGAI Annual Report: July 1 2022 - August 30 2023. AI Matters 9(3): 4-9 (2023) - [j24]Amanda R. Kube, Sanmay Das, Patrick J. Fowler:
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery. J. Artif. Intell. Res. 76: 1219-1245 (2023) - [j23]Amanda R. Kube, Sanmay Das, Patrick J. Fowler:
Community- and data-driven homelessness prevention and service delivery: optimizing for equity. J. Am. Medical Informatics Assoc. 30(6): 1032-1041 (2023) - [c62]Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik:
Popularizing Fairness: Group Fairness and Individual Welfare. AAAI 2023: 7485-7493 - [c61]Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Sanmay Das:
Counterfactually Fair Dynamic Assignment: A Case Study on Policing. AAMAS 2023: 2526-2528 - [c60]Nabit A. Bajwa, Sanmay Das:
Test Scores, Classroom Performance, and Capacity in Academically Selective School Program Admissions. EAAMO 2023: 16:1-16:15 - [c59]Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Group-Fair Classification with Strategic Agents. FAccT 2023: 389-399 - [c58]Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Incentivizing Recourse through Auditing in Strategic Classification. IJCAI 2023: 400-408 - [e4]Francesca Rossi, Sanmay Das, Jenny Davis, Kay Firth-Butterfield, Alex John:
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2023, Montréal, QC, Canada, August 8-10, 2023. ACM 2023 [contents] - [i17]Gaurab Pokharel, Sanmay Das:
Converging to Stability in Two-Sided Bandits: The Case of Unknown Preferences on Both Sides of a Matching Market. CoRR abs/2302.06176 (2023) - [i16]Angeela Acharya, Sulabh Shrestha, Anyi Chen, Joseph Conte, Sanja Avramovic, Siddhartha Sikdar, Antonios Anastasopoulos, Sanmay Das:
Clinical Risk Prediction Using Language Models: Benefits And Considerations. CoRR abs/2312.03742 (2023) - [i15]Gaurab Pokharel, Sanmay Das, Patrick J. Fowler:
Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning. CoRR abs/2312.10694 (2023) - 2022
- [j22]Nicholas Mattei, Sanmay Das:
Call for nominations: 2022 SIGAI industry award. AI Matters 8(1): 12-13 (2022) - [j21]Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck:
SIGAI Annual Report: July 1 2021 - June 30 2022. AI Matters 8(3): 4-7 (2022) - [c57]Sanmay Das:
Local Justice and the Algorithmic Allocation of Scarce Societal Resources. AAAI 2022: 12250-12255 - [c56]Angeela Acharya, Siddhartha Sikdar, Sanmay Das, Huzefa Rangwala:
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources. IEEE Big Data 2022: 685-692 - [c55]Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Patrick J. Fowler, Sanmay Das:
Trade-offs between Group Fairness Metrics in Societal Resource Allocation. FAccT 2022: 1095-1105 - [c54]Amanda R. Kube, Sanmay Das, Patrick J. Fowler, Yevgeniy Vorobeychik:
Just Resource Allocation? How Algorithmic Predictions and Human Notions of Justice Interact. EC 2022: 1184-1242 - [i14]Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Patrick J. Fowler, Sanmay Das:
Trade-offs between Group Fairness Metrics in Societal Resource Allocation. CoRR abs/2202.12334 (2022) - [i13]Angeela Acharya, Siddhartha Sikdar, Sanmay Das, Huzefa Rangwala:
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources. CoRR abs/2212.05975 (2022) - 2021
- [j20]Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne, Alan Tsang:
SIGAI annual report: July 1 2020 - June 30 2021. AI Matters 7(3): 5-11 (2021) - [c53]Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik:
Incentivizing Truthfulness Through Audits in Strategic Classification. AAAI 2021: 5347-5354 - [c52]Quan Nguyen, Sanmay Das, Roman Garnett:
Scarce Societal Resource Allocation and the Price of (Local) Justice. AAAI 2021: 5628-5636 - [c51]Zehao Dong, Sanmay Das, Patrick J. Fowler, Chien-Ju Ho:
Efficient Nonmyopic Online Allocation of Scarce Reusable Resources. AAMAS 2021: 447-455 - [i12]Sanmay Das:
Local Justice and the Algorithmic Allocation of Societal Resources. CoRR abs/2112.01236 (2021) - [i11]Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents. CoRR abs/2112.02746 (2021) - 2020
- [j19]Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne:
SIGAI annual report: July 1 2019 - June 30 2020. AI Matters 6(2): 5-9 (2020) - [c50]Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik:
Deception through Half-Truths. AAAI 2020: 10110-10117 - [c49]Andrew Estornell, Sanmay Das, Edith Elkind, Yevgeniy Vorobeychik:
Election Control by Manipulating Issue Significance. UAI 2020: 340-349 - [i10]Andrew Estornell, Sanmay Das, Edith Elkind, Yevgeniy Vorobeychik:
Election Control by Manipulating Issue Significance. CoRR abs/2007.09786 (2020) - [i9]Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik:
Incentivizing Truthfulness Through Audits in Strategic Classification. CoRR abs/2012.09147 (2020)
2010 – 2019
- 2019
- [j18]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:
ACM SIGAI activity report. AI Matters 5(3): 6-11 (2019) - [c48]Amanda R. Kube, Sanmay Das, Patrick J. Fowler:
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. AAAI 2019: 622-629 - [c47]Zhuoshu Li, Sanmay Das:
Revenue Enhancement via Asymmetric Signaling in Interdependent-Value Auctions. AAAI 2019: 2093-2100 - [c46]Hao Yan, Sanmay Das, Allen Lavoie, Sirui Li, Betsy Sinclair:
The Congressional Classification Challenge: Domain Specificity and Partisan Intensity. EC 2019: 71-89 - [c45]Zhuoshu Li, Kelsey Lieberman, William Macke, Sofia Carrillo, Chien-Ju Ho, Jason Wellen, Sanmay Das:
Incorporating Compatible Pairs in Kidney Exchange: A Dynamic Weighted Matching Model. EC 2019: 349-367 - [i8]Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik:
Deception through Half-Truths. CoRR abs/1911.05885 (2019) - 2018
- [j17]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:
ACM SIGAI activity report. AI Matters 4(3): 7-11 (2018) - [j16]Sven Koenig, Sanmay Das, Rosemary D. Paradis, Michael Rovatsos, Nicholas Mattei:
Call for proposals: artificial intelligence activities fund. AI Matters 4(4): 5-6 (2018) - [c44]Zhuoshu Li, Zhitang Chen, Pascal Poupart, Sanmay Das, Yanhui Geng:
Faster Policy Adaptation in Environments with Exogeneity: A State Augmentation Approach. AAMAS 2018: 1035-1043 - [c43]Zhuoshu Li, Neal Gupta, Sanmay Das, John P. Dickerson:
Equilibrium Behavior in Competing Dynamic Matching Markets. IJCAI 2018: 389-395 - [c42]Meenal Chhabra, Sanmay Das, Ilya O. Ryzhov:
The Promise and Perils of Myopia in Dynamic Pricing With Censored Information. IJCAI 2018: 4994-5001 - 2017
- [j15]Sven Koenig, Sanmay Das, Rosemary D. Paradis, Eric Eaton, Yolanda Gil, Katherine Guo, Bojun Huang, Albert Jiang, Benjamin Kuipers, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Plamen Petrov, Michael Rovatsos, David G. Stork:
ACM SIGAI activity report. AI Matters 3(3): 7-11 (2017) - [c41]Yuan Gao, Sanmay Das, Patrick J. Fowler:
Homelessness Service Provision: A Data Science Perspective. AAAI Workshops 2017 - [c40]Sanmay Das, Emir Kamenica, Renee Mirka:
Reducing congestion through information design. Allerton 2017: 1279-1284 - [c39]Hao Yan, Allen Lavoie, Sanmay Das:
The Perils of Classifying Political Orientation From Text. LINKDEM@IJCAI 2017: 38-50 - [c38]Mithun Chakraborty, Kai Yee Phoebe Chua, Sanmay Das, Brendan Juba:
Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits. IJCAI 2017: 164-170 - [e3]Kate Larson, Michael Winikoff, Sanmay Das, Edmund H. Durfee:
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2017, São Paulo, Brazil, May 8-12, 2017. ACM 2017 [contents] - 2016
- [j14]Rostyslav Korolov, Justin Peabody, Allen Lavoie, Sanmay Das, Malik Magdon-Ismail, William A. Wallace:
Predicting charitable donations using social media. Soc. Netw. Anal. Min. 6(1): 31:1-31:10 (2016) - [j13]Sanmay Das, Allen Lavoie, Malik Magdon-Ismail:
Manipulation among the Arbiters of Collective Intelligence: How Wikipedia Administrators Mold Public Opinion. ACM Trans. Web 10(4): 24:1-24:25 (2016) - [c37]Zhuoshu Li, Sanmay Das:
An Agent-Based Model of Competition Between Financial Exchanges: Can Frequent Call Mechanisms Drive Trade Away from CDAs? AAMAS 2016: 50-58 - [c36]Antonio A. Ginart, Sanmay Das, Jenine K. Harris, Roger Wong, Hao Yan, Melissa J. Krauss, Patricia A. Cavazos-Rehg:
Drugs or Dancing? Using Real-Time Machine Learning to Classify Streamed "Dabbing" Homograph Tweets. ICHI 2016: 10-13 - [c35]Mithun Chakraborty, Sanmay Das:
Trading on a Rigged Game: Outcome Manipulation in Prediction Markets. IJCAI 2016: 158-164 - [c34]Shamin Kinathil, Scott Sanner, Sanmay Das, Nicolás Della Penna:
A Symbolic Closed-Form Solution to Sequential Market Making with Inventory. IJCAI 2016: 3609-3615 - 2015
- [j12]Yinon Nahum, David Sarne, Sanmay Das, Onn Shehory:
Two-sided search with experts. Auton. Agents Multi Agent Syst. 29(3): 364-401 (2015) - [j11]Sanmay Das:
Report on the 2015 career network conference (CNC). AI Matters 1(3): 6-7 (2015) - [c33]Mithun Chakraborty, Sanmay Das, Justin Peabody:
Price Evolution in a Continuous Double Auction Prediction Market With a Scoring-Rule Based Market Maker. AAAI 2015: 835-841 - [c32]Sanmay Das, Emir Kamenica:
Representations of information structures. Allerton 2015: 737-743 - [c31]Rostyslav Korolov, Justin Peabody, Allen Lavoie, Sanmay Das, Malik Magdon-Ismail, William A. Wallace:
Actions Are Louder than Words in Social Media. ASONAM 2015: 292-297 - [c30]Shani Alkoby, David Sarne, Sanmay Das:
Strategic Free Information Disclosure for Search-Based Information Platforms. AAMAS 2015: 635-643 - [c29]Sara Moein, Hao Yan, Sanmay Das, Matthew Hall, Pirooz A. Eghtesady:
Prediction of Systemic-to-Pulmonary Artery shunt surgery outcomes using administrative data. BIBM 2015: 737-741 - [c28]Mithun Chakraborty, Sanmay Das:
Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents. NIPS 2015: 2359-2367 - [i7]Mithun Chakraborty, Sanmay Das, Allen Lavoie:
How to show a probabilistic model is better. CoRR abs/1502.03491 (2015) - 2014
- [j10]Sanmay Das, Susan L. Epstein, Yolanda Gil:
Announcing the SIGAI early career researchers network and conference. AI Matters 1(1): 6-8 (2014) - [j9]Meenal Chhabra, Sanmay Das, David Sarne:
Expert-mediated sequential search. Eur. J. Oper. Res. 234(3): 861-873 (2014) - [c27]Meenal Chhabra, Sanmay Das, David Sarne:
Competitive information provision in sequential search markets. AAMAS 2014: 565-572 - [c26]Sanmay Das, Allen Lavoie:
The effects of feedback on human behavior in social media: an inverse reinforcement learning model. AAMAS 2014: 653-660 - [c25]Sanmay Das, Allen Lavoie:
Automated inference of point of view from user interactions in collective intelligence venues. ICML 2014: 82-90 - [c24]Sanmay Das, Zhuoshu Li:
The Role of Common and Private Signals in Two-Sided Matching with Interviews. WINE 2014: 492-497 - [i6]Sanmay Das, Allen Lavoie:
Home Is Where the Up-Votes Are: Behavior Changes in Response to Feedback in Social Media. CoRR abs/1406.7738 (2014) - [i5]Mithun Chakraborty, Sanmay Das:
On Manipulation in Prediction Markets When Participants Influence Outcomes Directly. CoRR abs/1407.7015 (2014) - 2013
- [j8]Elliot Anshelevich, Sanmay Das, Yonatan Naamad:
Anarchy, stability, and utopia: creating better matchings. Auton. Agents Multi Agent Syst. 26(1): 120-140 (2013) - [c23]Elliot Anshelevich, Meenal Chhabra, Sanmay Das, Matthew Gerrior:
On the Social Welfare of Mechanisms for Repeated Batch Matching. AAAI 2013: 60-66 - [c22]Mithun Chakraborty, Sanmay Das, Allen Lavoie, Malik Magdon-Ismail, Yonatan Naamad:
Instructor Rating Markets. AAAI 2013: 159-165 - [c21]Sanmay Das, Allen Lavoie, Malik Magdon-Ismail:
Manipulation among the arbiters of collective intelligence: how wikipedia administrators mold public opinion. CIKM 2013: 1097-1106 - 2012
- [j7]Teruhiko Yoneyama, Sanmay Das, Mukkai S. Krishnamoorthy:
A Hybrid Model for Disease Spread and an Application to the SARS Pandemic. J. Artif. Soc. Soc. Simul. 15(1) (2012) - [j6]Sahin Cem Geyik, S. Yousaf Shah, Boleslaw K. Szymanski, Sanmay Das, Petros Zerfos:
Market mechanisms for resource allocation in pervasive sensor applications. Pervasive Mob. Comput. 8(3): 346-357 (2012) - [j5]Sanmay Das, Malik Magdon-Ismail:
A Model for Information Growth in Collective Wisdom Processes. ACM Trans. Knowl. Discov. Data 6(2): 6:1-6:10 (2012) - [c20]Yinon Nahum, David Sarne, Onn Shehory, Sanmay Das:
Do experts help in two-sided search? AAMAS 2012: 1291-1292 - [c19]Elliot Anshelevich, Meenal Chhabra, Matthew Gerrior, Sanmay Das:
On the social welfare of mechanisms for repeated batch matching. AAMAS 2012: 1321-1322 - [c18]Meenal Chhabra, Sanmay Das, Boleslaw K. Szymanski:
Team Formation in Social Networks. ISCIS 2012: 291-299 - [c17]Aseem Brahma, Mithun Chakraborty, Sanmay Das, Allen Lavoie, Malik Magdon-Ismail:
A bayesian market maker. EC 2012: 215-232 - [c16]Yinon Nahum, David Sarne, Sanmay Das, Onn Shehory:
Two-sided search with experts. EC 2012: 754-771 - [e2]Peter Coles, Sanmay Das, Sébastien Lahaie, Boleslaw K. Szymanski:
Auctions, Market Mechanisms, and Their Applications - Second International ICST Conference, AMMA 2011, New York, NY, USA, August 22-23, 2011, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 80, Springer 2012, ISBN 978-3-642-30912-0 [contents] - [i4]Mithun Chakraborty, Sanmay Das, Malik Magdon-Ismail:
Near-Optimal Target Learning With Stochastic Binary Signals. CoRR abs/1202.3704 (2012) - 2011
- [j4]Aditya Kumar Sehgal, Sanmay Das, Keith Noto, Milton H. Saier Jr., Charles Elkan:
Identifying Relevant Data for a Biological Database: Handcrafted Rules versus Machine Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 851-857 (2011) - [c15]Mithun Chakraborty, Sanmay Das, Allen Lavoie, Malik Magdon-Ismail, Yonatan Naamad:
Instructor Rating Markets. AMMA 2011: 31-32 - [c14]Meenal Chhabra, Sanmay Das:
Learning the demand curve in posted-price digital goods auctions. AAMAS 2011: 63-70 - [c13]Meenal Chhabra, Sanmay Das, David Sarne:
Expert-mediated search. AAMAS 2011: 415-422 - [c12]Boleslaw K. Szymanski, S. Yousaf Shah, Sahin Cem Geyik, Sanmay Das, Meenal Chhabra, Petros Zerfos:
Market mechanisms for Value of Information driven resource allocation in Sensor Networks. PerCom Workshops 2011: 20-25 - [c11]Mithun Chakraborty, Sanmay Das, Malik Magdon-Ismail:
Near-Optimal Target Learning With Stochastic Binary Signals. UAI 2011: 69-76 - [i3]Sanmay Das, Allen Lavoie, Malik Magdon-Ismail:
Pushing Your Point of View: Behavioral Measures of Manipulation in Wikipedia. CoRR abs/1111.2092 (2011) - 2010
- [j3]Elliot Anshelevich, Sanmay Das:
Matching, cardinal utility, and social welfare. SIGecom Exch. 9(1): 4 (2010) - [c10]Eric M. Meisner, Sanmay Das, Volkan Isler, Jeff Trinkle, Selma Sabanovic, Linnda R. Caporael:
Predictive State Representations for grounding human-robot communication. ICRA 2010: 178-185 - [c9]Sanmay Das, Malik Magdon-Ismail:
Collective wisdom: information growth in wikis and blogs. EC 2010: 231-240 - [i2]Teruhiko Yoneyama, Sanmay Das, Mukkai S. Krishnamoorthy:
A Hybrid Model for Disease Spread and an Application to the SARS Pandemic. CoRR abs/1007.4523 (2010) - [i1]Aseem Brahma, Sanmay Das, Malik Magdon-Ismail:
Comparing Prediction Market Structures, With an Application to Market Making. CoRR abs/1009.1446 (2010)
2000 – 2009
- 2009
- [c8]Elliot Anshelevich, Sanmay Das, Yonatan Naamad:
Anarchy, Stability, and Utopia: Creating Better Matchings. SAGT 2009: 159-170 - [e1]Sanmay Das, Michael Ostrovsky, David M. Pennock, Boleslaw K. Szymanski:
Auctions, Market Mechanisms and Their Applications, First International ICST Conference, AMMA 2009, Boston, MA, USA, May 8-9, 2009, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 14, Springer 2009, ISBN 978-3-642-03820-4 [contents] - 2008
- [j2]Sanmay Das, Michael Ostrovsky:
Conference announcement: the conference on auctions, market mechanisms, and their applications (AMMA). SIGecom Exch. 7(3) (2008) - [c7]Sanmay Das:
The effects of market-making on price dynamics. AAMAS (2) 2008: 887-894 - [c6]Sanmay Das, Malik Magdon-Ismail:
Adapting to a Market Shock: Optimal Sequential Market-Making. NIPS 2008: 361-368 - 2007
- [c5]Sanmay Das:
Learning to trade with insider information. ICEC 2007: 169-176 - [c4]Sanmay Das, Milton H. Saier Jr., Charles Elkan:
Finding Transport Proteins in a General Protein Database. PKDD 2007: 54-66 - 2006
- [b1]Sanmay Das:
Dealers, insiders and bandits: learning and its effects on market outcomes. Massachusetts Institute of Technology, Cambridge, MA, USA, 2006 - 2005
- [c3]Sanmay Das, Emir Kamenica:
Two-Sided Bandits and the Dating Market. IJCAI 2005: 947-952 - 2002
- [j1]Barbara J. Grosz, Sarit Kraus, David G. Sullivan, Sanmay Das:
The influence of social norms and social consciousness on intention reconciliation. Artif. Intell. 142(2): 147-177 (2002) - [c2]Sanmay Das, Barbara J. Grosz, Avi Pfeffer:
Learning and decision: making for intention reconciliation. AAMAS 2002: 1121-1128 - 2001
- [c1]Sanmay Das:
Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection. ICML 2001: 74-81
Coauthor Index
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