Year |
Citation |
Score |
2015 |
Naroditskiy V, Steinberg R. Maximizing social welfare in congestion games via redistribution Games and Economic Behavior. 93: 24-41. DOI: 10.1016/J.Geb.2015.06.010 |
0.383 |
|
2014 |
Naroditskiy V, Jennings NR, Van Hentenryck P, Cebrian M. Crowdsourcing contest dilemma. Journal of the Royal Society, Interface / the Royal Society. 11. PMID 25142518 DOI: 10.1098/Rsif.2014.0532 |
0.304 |
|
2014 |
Hilliard EM, Greenwald A, Naroditskiy V. An algorithm for the penalized multiple choice knapsack problem Frontiers in Artificial Intelligence and Applications. 263: 1025-1026. DOI: 10.3233/978-1-61499-419-0-1025 |
0.543 |
|
2014 |
Biermann FM, Naroditskiy V, Polukarov M, Nguyen TD, Rogers A, Jennings NR. Task assignment with controlled and autonomous agents Mathematical Social Sciences. 71: 116-121. DOI: 10.1016/J.Mathsocsci.2014.04.007 |
0.394 |
|
2014 |
de Clippel G, Naroditskiy V, Polukarov M, Greenwald A, Jennings NR. Destroy to save Games and Economic Behavior. 86: 392-404. DOI: 10.1016/j.geb.2012.11.002 |
0.501 |
|
2013 |
Naroditskiy V, Polukarov M, Jennings NR. Optimal payments in dominant-strategy mechanisms for single-parameter domains Acm Transactions On Economics and Computation. 1: 1-21. DOI: 10.1145/2399187.2399191 |
0.307 |
|
2013 |
Rabinovich Z, Naroditskiy V, Gerding EH, Jennings NR. Computing pure Bayesian-Nash equilibria in games with finite actions and continuous types Artificial Intelligence. 195: 106-139. DOI: 10.1016/J.Artint.2012.09.007 |
0.339 |
|
2012 |
Naroditskiy V, Guo M, Dufton L, Polukarov M, Jennings NR. Redistribution of VCG payments in public project problems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7695: 323-336. DOI: 10.1007/978-3-642-35311-6_24 |
0.34 |
|
2012 |
Dufton L, Naroditskiy V, Polukarov M, Jennings NR. Optimizing payments in dominant-strategy mechanisms for multi-parameter domains Proceedings of the National Conference On Artificial Intelligence. 2: 1347-1354. |
0.327 |
|
2011 |
Guo M, Naroditskiy V, Conitzer V, Greenwald A, Jennings NR. Budget-balanced and nearly efficient randomized mechanisms: Public goods and beyond Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7090: 158-169. DOI: 10.1007/978-3-642-25510-6-14 |
0.489 |
|
2010 |
Berg J, Greenwald A, Naroditskiy V, Sodomka E. A knapsack-based approach to bidding in Ad auctions Frontiers in Artificial Intelligence and Applications. 215: 1013-1014. DOI: 10.3233/978-1-60750-606-5-1013 |
0.506 |
|
2010 |
Greenwald A, Naroditskiy V, Lee SJ. Bidding heuristics for simultaneous auctions: Lessons from TAC travel Lecture Notes in Business Information Processing. 44: 131-146. DOI: 10.1007/978-3-642-15237-5_10 |
0.597 |
|
2009 |
Greenwald A, Lee S, Naroditskiy V. RoxyBot-06: Stochastic Prediction and Optimization in TAC Travel Journal of Artificial Intelligence Research. 36: 513-546. DOI: 10.1613/Jair.2904 |
0.641 |
|
2008 |
Greenwald A, Naroditskiy V, Odean T, Ramirez M, Sodomka E, Zimmerman J, Cutler C. Marginal Bidding: An application of the Equimarginal Principle to bidding in TAC SCM Lecture Notes in Business Information Processing. 13: 217-239. |
0.626 |
|
2008 |
Greenwald A, Naroditskiy V, Odean T, Ramirez M, Sodomka E, Zimmerman J, Cutler C. Marginal Bidding: An application of the Equimarginal Principle to bidding in TAC SCM Lecture Notes in Business Information Processing. 13: 217-239. |
0.524 |
|
2007 |
Lee SJ, Greenwald A, Naroditskiy V. RoxyBot-06: An (SAA)2 TAC travel agent Ijcai International Joint Conference On Artificial Intelligence. 1378-1383. |
0.569 |
|
2007 |
Naroditskiy V, Greenwald A. Using iterated best-response to find bayes-nash equilibria in auctions Proceedings of the National Conference On Artificial Intelligence. 2: 1894-1895. |
0.533 |
|
2006 |
Greenwald A, Naroditskiy V. Heuristics for the deterministic bidding problem Sigecom Exchanges. 6: 35-44. DOI: 10.1145/1150735.1150740 |
0.651 |
|
2006 |
Greenwald A, Guillemette B, Naroditskiy V, Tschantz M. Scaling up the sample average approximation method for stochastic optimization with applications to trading agents Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3937: 187-199. |
0.605 |
|
2004 |
Benisch M, Greenwald A, Grypari I, Lederman R, Naroditskiy V, Tschantz M. Botticelli: a supply chain management agent designed to optimize under uncertainty Sigecom Exchanges. 4: 29-37. DOI: 10.1145/1120701.1120706 |
0.656 |
|
2004 |
Benisch M, Greenwald A, Grypari I, Lederman R, Naroditskiy V, Tschantz M. Botticelli: A supply chain management agent Proceedings of the Third International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas 2004. 3: 1174-1181. |
0.63 |
|
2004 |
Benisch M, Greenwald A, Naroditskiy V, Tschantz M. A stochastic programming approach to scheduling in TAC SCM Proceedings of the Acm Conference On Electronic Commerce. 5: 152-159. |
0.613 |
|
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