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ORCIDYoav Shoham
יואב שהם
Person information
- affiliation: Stanford University, USA
- unicode name: יואב שהם
- award (2012): ACM - AAAI Allen Newell Award
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2020 – today
- 2024
[c109]Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham:
Generating Benchmarks for Factuality Evaluation of Language Models. EACL (1) 2024: 49-66- [i24]Opher Lieber, Barak Lenz, Hofit Bata, Gal Cohen, Jhonathan Osin, Itay Dalmedigos, Erez Safahi, Shaked Meirom, Yonatan Belinkov, Shai Shalev-Shwartz, Omri Abend, Raz Alon, Tomer Asida, Amir Bergman, Roman Glozman, Michael Gokhman, Avashalom Manevich, Nir Ratner, Noam Rozen, Erez Shwartz, Mor Zusman, Yoav Shoham:
Jamba: A Hybrid Transformer-Mamba Language Model. CoRR abs/2403.19887 (2024) - [i23]Nestor Maslej, Loredana Fattorini, C. Raymond Perrault, Vanessa Parli, Anka Reuel, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Russell Wald, Jack Clark:
Artificial Intelligence Index Report 2024. CoRR abs/2405.19522 (2024) - [i22]Kevin Leyton-Brown, Yoav Shoham:
Understanding Understanding: A Pragmatic Framework Motivated by Large Language Models. CoRR abs/2406.10937 (2024) - [i21]Barak Lenz, Alan Arazi, Amir Bergman, Avshalom Manevich, Barak Peleg, Ben Aviram, Chen Almagor, Clara Fridman, Dan Padnos, Daniel Gissin, Daniel Jannai, Dor Muhlgay, Dor Zimberg, Edden M. Gerber, Elad Dolev, Eran Krakovsky, Erez Safahi, Erez Schwartz, Gal Cohen, Gal Shachaf, Haim Rozenblum, Hofit Bata, Ido Blass, Inbal Magar, Itay Dalmedigos, Jhonathan Osin, Julie Fadlon, Maria Rozman, Matan Danos, Michael Gokhman, Mor Zusman, Naama Gidron, Nir Ratner, Noam Gat, Noam Rozen, Oded Fried, Ohad Leshno, Omer Antverg, Omri Abend, Opher Lieber, Or Dagan, Orit Cohavi, Raz Alon, Ro'i Belson, Roi Cohen, Rom Gilad, Roman Glozman, Shahar Lev, Shaked Meirom, Tal Delbari, Tal Ness, Tomer Asida, Tom Ben Gal, Tom Braude, Uriya Pumerantz, Yehoshua Cohen, Yonatan Belinkov, Yuval Globerson, Yuval Peleg Levy, Yoav Shoham:
Jamba-1.5: Hybrid Transformer-Mamba Models at Scale. CoRR abs/2408.12570 (2024) - 2023
- [j52]Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham:
In-Context Retrieval-Augmented Language Models. Trans. Assoc. Comput. Linguistics 11: 1316-1331 (2023) - [c108]Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham:
Parallel Context Windows for Large Language Models. ACL (1) 2023: 6383-6402 - [i20]Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham:
In-Context Retrieval-Augmented Language Models. CoRR abs/2302.00083 (2023) - [i19]Daniel Jannai, Amos Meron, Barak Lenz, Yoav Levine, Yoav Shoham:
Human or Not? A Gamified Approach to the Turing Test. CoRR abs/2305.20010 (2023) - [i18]Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham:
Generating Benchmarks for Factuality Evaluation of Language Models. CoRR abs/2307.06908 (2023) - [i17]Nestor Maslej, Loredana Fattorini, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Vanessa Parli, Yoav Shoham, Russell Wald, Jack Clark, C. Raymond Perrault:
Artificial Intelligence Index Report 2023. CoRR abs/2310.03715 (2023) - 2022
- [i16]Yoav Levine, Itay Dalmedigos, Ori Ram, Yoel Zeldes, Daniel Jannai, Dor Muhlgay, Yoni Osin, Opher Lieber, Barak Lenz, Shai Shalev-Shwartz, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham:
Standing on the Shoulders of Giant Frozen Language Models. CoRR abs/2204.10019 (2022) - [i15]Ehud Karpas, Omri Abend, Yonatan Belinkov, Barak Lenz, Opher Lieber, Nir Ratner, Yoav Shoham, Hofit Bata, Yoav Levine, Kevin Leyton-Brown, Dor Muhlgay, Noam Rozen, Erez Schwartz, Gal Shachaf, Shai Shalev-Shwartz, Amnon Shashua, Moshe Tennenholtz:
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. CoRR abs/2205.00445 (2022) - [i14]Daniel Zhang, Nestor Maslej, Erik Brynjolfsson, John Etchemendy, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Michael Sellitto, Ellie Sakhaee, Yoav Shoham, Jack Clark, C. Raymond Perrault:
The AI Index 2022 Annual Report. CoRR abs/2205.03468 (2022) - [i13]Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham:
Parallel Context Windows Improve In-Context Learning of Large Language Models. CoRR abs/2212.10947 (2022) - 2021
- [c107]Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham:
PMI-Masking: Principled masking of correlated spans. ICLR 2021 - [c106]Yoav Shoham:
Some Thoughts on Computational Natural Language in the 21st Century. WSDM 2021: 1 - [i12]Daniel Zhang, Saurabh Mishra, Erik Brynjolfsson, John Etchemendy, Deep Ganguli, Barbara J. Grosz, Terah Lyons, James Manyika, Juan Carlos Niebles, Michael Sellitto, Yoav Shoham, Jack Clark, C. Raymond Perrault:
The AI Index 2021 Annual Report. CoRR abs/2103.06312 (2021) - 2020
- [c105]Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham:
SenseBERT: Driving Some Sense into BERT. ACL 2020: 4656-4667 - [i11]Or Sharir, Barak Peleg, Yoav Shoham:
The Cost of Training NLP Models: A Concise Overview. CoRR abs/2004.08900 (2020) - [i10]Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham:
PMI-Masking: Principled masking of correlated spans. CoRR abs/2010.01825 (2020)
2010 – 2019
- 2019
- [j51]Nicolas S. Lambert, Adrian Marple
, Yoav Shoham:
On equilibria in games with imperfect recall. Games Econ. Behav. 113: 164-185 (2019) - [c104]Eran Bringer, Abraham Israeli, Yoav Shoham, Alexander Ratner, Christopher Ré:
Osprey: Weak Supervision of Imbalanced Extraction Problems without Code. DEEM@SIGMOD 2019: 4:1-4:11 - [i9]Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham:
SenseBERT: Driving Some Sense into BERT. CoRR abs/1908.05646 (2019) - 2017
- [j50]Yoav Shoham:
Towards the AI Index. AI Mag. 38(4): 71-77 (2017) - [r4]Yoav Shoham, Rob Powers:
Multi-agent Learning. Encyclopedia of Machine Learning and Data Mining 2017: 857-860 - [r3]Yoav Shoham, Rob Powers:
Multi-agent Learning Algorithms. Encyclopedia of Machine Learning and Data Mining 2017: 860-863 - 2016
- [j49]Yoav Shoham:
Why knowledge representation matters. Commun. ACM 59(1): 47-49 (2016) - [j48]Christopher Archibald, Alon Altman, Yoav Shoham:
A Distributed Agent for Computational Pool. IEEE Trans. Comput. Intell. AI Games 8(2): 190-202 (2016) - 2015
- [j47]Nicolas S. Lambert, John Langford, Jennifer Wortman Vaughan, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock:
An axiomatic characterization of wagering mechanisms. J. Econ. Theory 156: 389-416 (2015) - [c103]Hooyeon Lee, Yoav Shoham:
Stable Invitations. AAAI 2015: 965-971 - [c102]Eric Hsin-Chun Huang, Jaron Lanier, Yoav Shoham:
The Right to Obscure: A Mechanism and Initial Evaluation. IJCAI 2015: 1156-1162 - 2014
- [c101]Eric Hsin-Chun Huang, Yoav Shoham:
Price manipulation in prediction markets: analysis and mitigation. AAMAS 2014: 213-220 - [c100]Hooyeon Lee, Yoav Shoham:
Optimizing time and convenience in group scheduling. AAMAS 2014: 1345-1346 - [c99]Hooyeon Lee, Yoav Shoham:
Stable group scheduling. AAMAS 2014: 1347-1348 - [i8]Hooyeon Lee, Yoav Shoham:
Stable Invitations. CoRR abs/1405.7751 (2014) - 2013
- [i7]Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz:
Mechanism Design with Execution Uncertainty. CoRR abs/1301.0595 (2013) - [i6]Pierfrancesco La Mura, Yoav Shoham:
Expected Utility Networks. CoRR abs/1301.6714 (2013) - [i5]Yoav Shoham:
Conditional Utility, Utility Independence, and Utility Networks. CoRR abs/1302.1568 (2013) - 2012
- [c98]Jacob Bank, Zachary Cain, Yoav Shoham, Caroline Suen, Dan Ariely:
Turning personal calendars into scheduling assistants. CHI Extended Abstracts 2012: 2667-2672 - 2011
- [j46]Thuc Vu, Yoav Shoham:
Fair Seeding in Knockout Tournaments. ACM Trans. Intell. Syst. Technol. 3(1): 9:1-9:17 (2011) - [c97]Christopher Archibald, Yoav Shoham:
Hustling in Repeated Zero-Sum Games with Imperfect Execution. IJCAI 2011: 31-36 - [e3]Yoav Shoham, Yan Chen, Tim Roughgarden:
Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), San Jose, CA, USA, June 5-9, 2011. ACM 2011, ISBN 978-1-4503-0261-6 [contents] - 2010
- [j45]Pingzhong Tang, Yoav Shoham, Fangzhen Lin:
Designing competitions between teams of individuals. Artif. Intell. 174(11): 749-766 (2010) - [j44]Christopher Archibald, Alon Altman, Michael A. Greenspan, Yoav Shoham:
Computational Pool: A New Challenge for Game Theory Pragmatics. AI Mag. 31(4): 33-41 (2010) - [c96]Ashton Anderson, Yoav Shoham, Alon Altman:
Internal implementation. AAMAS 2010: 191-198 - [c95]Michael Munie, Yoav Shoham:
Joint process games: from ratings to wikis. AAMAS 2010: 847-854 - [c94]Christopher Archibald, Alon Altman, Yoav Shoham:
Success, strategy and skill: an experimental study. AAMAS 2010: 1089-1096 - [c93]Thuc Vu, Yoav Shoham:
Optimal seeding in knockout tournaments. AAMAS 2010: 1579-1580 - [c92]Chitta Baral, Ian Horrocks, Yoav Shoham:
Invited Presentations at the Twelfth International Conference on Principles of Knowledge Representation and Reasoning. KR 2010 - [c91]Thomas Icard, Eric Pacuit, Yoav Shoham:
Joint Revision of Beliefs and Intention. KR 2010 - [r2]Yoav Shoham, Rob Powers:
Multi-Agent Learning I: Problem Definition. Encyclopedia of Machine Learning 2010: 694-696 - [r1]Yoav Shoham, Rob Powers:
Multi-Agent Learning II: Algorithms. Encyclopedia of Machine Learning 2010: 696-699
2000 – 2009
- 2009
- [b2]Yoav Shoham, Kevin Leyton-Brown:
Multiagent Systems - Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press 2009, ISBN 978-0-521-89943-7, pp. I-XX, 1-483 - [j43]Felix Brandt, Felix A. Fischer, Paul Harrenstein, Yoav Shoham:
Ranking games. Artif. Intell. 173(2): 221-239 (2009) - [j42]Kevin Leyton-Brown, Eugene Nudelman, Yoav Shoham:
Empirical hardness models: Methodology and a case study on combinatorial auctions. J. ACM 56(4): 22:1-22:52 (2009) - [j41]Yoav Shoham:
Logical Theories of Intention and the Database Perspective. J. Philos. Log. 38(6): 633-647 (2009) - [c90]Christopher Archibald, Yoav Shoham:
Modeling billiards games. AAMAS (1) 2009: 193-199 - [c89]Thuc Vu, Alon Altman, Yoav Shoham:
On the complexity of schedule control problems for knockout tournaments. AAMAS (1) 2009: 225-232 - [c88]Pingzhong Tang, Yoav Shoham, Fangzhen Lin:
Team competition. AAMAS (1) 2009: 241-248 - [c87]Christopher Archibald, Alon Altman, Yoav Shoham:
Analysis of a Winning Computational Billiards Player. IJCAI 2009: 1377-1382 - [c86]Nicolas S. Lambert, Yoav Shoham:
Eliciting truthful answers to multiple-choice questions. EC 2009: 109-118 - [c85]Yoav Shoham:
Considerations on the logic of intention. TARK 2009: 3 - 2008
- [b1]Kevin Leyton-Brown, Yoav Shoham:
Essentials of Game Theory: A Concise Multidisciplinary Introduction. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2008, ISBN 978-3-031-00417-9 - [j40]Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz:
Fault tolerant mechanism design. Artif. Intell. 172(15): 1783-1799 (2008) - [j39]Yoav Shoham:
Computer science and game theory. Commun. ACM 51(8): 74-79 (2008) - [j38]Ryan Porter, Eugene Nudelman, Yoav Shoham:
Simple search methods for finding a Nash equilibrium. Games Econ. Behav. 63(2): 642-662 (2008) - [j37]Nicolas S. Lambert, David M. Pennock, Yoav Shoham:
Eliciting properties of probability distributions: the highlights. SIGecom Exch. 7(3) (2008) - [j36]Kevin Leyton-Brown, Yoav Shoham:
Book announcements: multiagent systems and essentials of game theory. SIGecom Exch. 7(3) (2008) - [c84]Samuel Ieong, Yoav Shoham:
Bayesian Coalitional Games. AAAI 2008: 95-100 - [c83]Michael Munie, Yoav Shoham:
Optimal Testing of Structured Knowledge. AAAI 2008: 1069-1074 - [c82]Yoav Shoham:
Game Theory Pragmatics: A Challenge for AI. AAAI 2008: 1606-1608 - [c81]Yoav Shoham:
Computer science and game theory. AAMAS (1) 2008: 3 - [c80]Nicolas S. Lambert, David M. Pennock, Yoav Shoham:
Eliciting properties of probability distributions. EC 2008: 129-138 - [c79]Nicolas S. Lambert, John Langford, Jennifer Wortman, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock:
Self-financed wagering mechanisms for forecasting. EC 2008: 170-179 - [c78]Nicolas S. Lambert, Yoav Shoham:
Truthful Surveys. WINE 2008: 154-165 - 2007
- [j35]Yoav Shoham, Rob Powers, Trond Grenager:
If multi-agent learning is the answer, what is the question? Artif. Intell. 171(7): 365-377 (2007) - [j34]Rob Powers, Yoav Shoham, Thuc Vu:
A general criterion and an algorithmic framework for learning in multi-agent systems. Mach. Learn. 67(1-2): 45-76 (2007) - [j33]Peter Cramton, Yoav Shoham, Richard Steinberg:
An overview of combinatorial auctions. SIGecom Exch. 7(1): 3-14 (2007) - [c77]Nicolas S. Lambert, Yoav Shoham:
Asymptotically optimal repeated auctions for sponsored search. ICEC 2007: 55-64 - [c76]Samuel Ieong, Nicolas S. Lambert, Yoav Shoham, Ronen I. Brafman:
Near-Optimal Search in Continuous Domains. AAAI 2007: 1158-1163 - [c75]Felix Brandt, Felix A. Fischer, Paul Harrenstein, Yoav Shoham:
A Game-Theoretic Analysis of Strictly Competitive Multiagent Scenarios. IJCAI 2007: 1199-1206 - [c74]Felix Brandt, Tuomas Sandholm, Yoav Shoham:
Spiteful Bidding in Sealed-Bid Auctions. IJCAI 2007: 1207-1214 - [c73]Yoav Shoham:
How Relevant is Game Theory to Intelligent Agent Technology? Web Intelligence 2007 - 2006
- [c72]Felix Brandt, Felix A. Fischer, Yoav Shoham:
On Strictly Competitive Multi-Player Games. AAAI 2006: 605-612 - [c71]Thuc Vu, Rob Powers, Yoav Shoham:
Learning against multiple opponents. AAMAS 2006: 752-759 - [c70]Samuel Ieong, Yoav Shoham:
Multi-attribute coalitional games. EC 2006: 170-179 - 2005
- [j32]Ryan Porter, Yoav Shoham:
On cheating in sealed-bid auctions. Decis. Support Syst. 39(1): 41-54 (2005) - [j31]Yoav Shoham, Moshe Tennenholtz:
Non-cooperative computation: Boolean functions with correctness and exclusivity. Theor. Comput. Sci. 343(1-2): 97-113 (2005) - [c69]Samuel Ieong, Robert McGrew, Eugene Nudelman, Yoav Shoham, Qixiang Sun:
Fast and Compact: A Simple Class of Congestion Games. AAAI 2005: 489-494 - [c68]Rob Powers, Yoav Shoham:
Learning against opponents with bounded memory. IJCAI 2005: 817-822 - [c67]Samuel Ieong, Yoav Shoham:
Marginal contribution nets: a compact representation scheme for coalitional games. EC 2005: 193-202 - [i4]Felix Brandt, Tuomas Sandholm, Yoav Shoham:
Spiteful Bidding in Sealed-Bid Auctions. Computing and Markets 2005 - 2004
- [j30]Ryan Porter, Yoav Shoham, Moshe Tennenholtz:
Fair imposition. J. Econ. Theory 118(2): 209-228 (2004) - [c66]Robert McGrew, Yoav Shoham:
Using Contracts to Influence the Outcome of a Game. AAAI 2004: 238-244 - [c65]Ryan Porter, Eugene Nudelman, Yoav Shoham:
Simple Search Methods for Finding a Nash Equilibrium. AAAI 2004: 664-669 - [c64]Yoav Shoham, Rob Powers, Trond Grenager:
On the Agenda(s) of Research on Multi-Agent Learning. AAAI Technical Report (2) 2004: 89-95 - [c63]Eugene Nudelman, Jennifer Wortman, Yoav Shoham, Kevin Leyton-Brown:
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms. AAMAS 2004: 880-887 - [c62]Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoos, Alex Devkar, Yoav Shoham:
Understanding Random SAT: Beyond the Clauses-to-Variables Ratio. CP 2004: 438-452 - [c61]Rob Powers, Yoav Shoham:
New Criteria and a New Algorithm for Learning in Multi-Agent Systems. NIPS 2004: 1089-1096 - [c60]Yoav Shoham, Moshe Tennenholtz:
Behavorial mechanism design as an online marketing tool. EC 2004: 246-247 - [c59]Ryan Porter, Yoav Shoham:
Designing efficient online trading systems. EC 2004: 258-259 - 2003
- [j29]Kevin Leyton-Brown, Ryan Porter, Balaji Prabhakar, Yoav Shoham, Shobha Venkataraman:
Incentive mechanisms for smoothing out a focused demand for network resources. Comput. Commun. 26(3): 237-250 (2003) - [c58]Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham:
Boosting as a Metaphor for Algorithm Design. CP 2003: 899-903 - [c57]Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim McFadden, Yoav Shoham:
A Portfolio Approach to Algorithm Selection. IJCAI 2003: 1542 - [c56]Ryan Porter, Yoav Shoham:
On cheating in sealed-bid auctions. EC 2003: 76-84 - [c55]Robert McGrew, Ryan Porter, Yoav Shoham:
Towards a general theory of non-cooperative computation. TARK 2003: 59-71 - 2002
- [j28]Daniel Lehmann, Liadan O'Callaghan, Yoav Shoham:
Truth revelation in approximately efficient combinatorial auctions. J. ACM 49(5): 577-602 (2002) - [c54]Karèn Pivazyan, Yoav Shoham:
Polynomial-Time Reinforcement Learning of Near-Optimal Policies. AAAI/IAAI 2002: 205-210 - [c53]Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz:
Bidding Clubs in First-Price Auctions. AAAI/IAAI 2002: 373-378 - [c52]Trond Grenager, Rob Powers, Yoav Shoham:
Dispersion Games: General Definitions and Some Specific Learning Results. AAAI/IAAI 2002: 398-403 - [c51]Kevin Leyton-Brown, Eugene Nudelman, Yoav Shoham:
Learning the Empirical Hardness of Optimization Problems: The Case of Combinatorial Auctions. CP 2002: 556-572 - [c50]Ryan Porter, Amir Ronen, Yoav Shoham, Moshe Tennenholtz:
Mechanism Design with Execution Uncertainty. UAI 2002: 414-421 - [i3]Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz:
Bidding Clubs in First-Price Auctions. CoRR cs.GT/0201017 (2002) - [i2]Daniel Lehmann, Liadan O'Callaghan, Yoav Shoham:
Truth Revelation in Approximately Efficient Combinatorial Auctions. CoRR cs.GT/0202017 (2002) - 2001
- [j27]Yoav Shoham, Moshe Tennenholtz:
On Rational Computability and Communication Complexity. Games Econ. Behav. 35(1-2): 197-211 (2001) - [j26]Pedrito Maynard-Reid II, Yoav Shoham:
Belief Fusion: Aggregating Pedigreed Belief States. J. Log. Lang. Inf. 10(2): 183-209 (2001) - [c49]Yoav Shoham, Moshe Tennenholtz:
Fair Imposition. IJCAI 2001: 1083-1088 - [e2]Michael P. Wellman, Yoav Shoham:
Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), Tampa, Florida, USA, October 14-17, 2001. ACM 2001, ISBN 1-58113-387-1 [contents] - 2000
- [c48]Kevin Leyton-Brown, Yoav Shoham, Moshe Tennenholtz:
An Algorithm for Multi-Unit Combinatorial Auctions. AAAI/IAAI 2000: 56-61 - [c47]