[Publicity-list] DIMACS Workshop on Computational Issues in Auction Design

2004-09-16 Thread Linda Casals

*
 
DIMACS Workshop on Computational Issues in Auction Design
  
 October 7 - 8, 2004
 DIMACS Center, Rutgers University, Piscataway, NJ

Organizers: 
   
 Jayant Kalagnanam, IBM Watson Lab, [EMAIL PROTECTED]  
 Eric Maskin, School of Social Science, Institute for Advanced
 Study, [EMAIL PROTECTED] 
 David Parkes, Harvard University, [EMAIL PROTECTED] 
 Aleksandar Pekec, Fuqua School of Business, Duke University,
 [EMAIL PROTECTED] 
 Michael Rothkopf, Rutgers University, [EMAIL PROTECTED] 
 
Presented under the auspices of the Special Focus on Computation and
the Socio-Economic Sciences.

 

Recent advances in information technology and its rapid acceptance by
the business community have allowed for the possibility of expediting
complex business transactions. The most prominent example is use of
auctions in corporate procurement and in government deregulation
efforts. When many items with interrelated values are being sold,
economic efficiency can be increased by allowing bidders to make bids
on combinations of items. Procedures for auctioning combinations of
items have inherent computational problems that have to be overcome,
and the emergence of these issues has sparked considerable research
activity in the computer science and combinatorial optimization
communities. The most prominent example is combinatorial auctions in
which multiple goods are auctioned and bidders have and wish to
express different valuations on which goods complement each other and
which goods substitute for each other.

Topics of interest include:
-- expressive bidding languages
-- practical applications (e.g. to electricity, spectrum,...)
-- procurement and e-sourcing
-- combinatorial exchanges
-- preference elicitation
-- optimal auction design
-- approximate mechanisms
-- communication and computation complexity in combinatorial auctions

**
Workshop Program:

Thursday, October 7, 2004 

 8:00 -  8:30  Registration and Breakfast - CoRE Building, 4th Floor

 8:30 -  8:45  Welcome and Opening Remarks
   Fred Roberts, DIMACS Director

 8:45 -  9:30  Characterizing Dominant Strategy Mechanisms with 
   Multi-dimensional types
   Rakesh Vohra, Northwestern

 9:30 - 10:10  Multiitem auctions with credit limits
   Shmuel Oren and Shehzad Wadalawala, UC Berkeley

10:10 - 10:30  Break

10:30 - 11:15  Approximation Algorithms for Truthful Mechanisms
   Eva Tardos, Cornell
 
11:15 - 11:55  Tolls for heterogeneous selfish users in multicommodity
   generalized congestion games
   Lisa Fleischer, Carnegie Mellon University, Kamal Jain,
   MSR and Mohammad Mahdian, MIT

11:55 - 12:35  VCG Overpayment in Random Graphs
   Evdokia Nikolova and  David Karger, MIT

12:35 -  2:00  Lunch

 2:00 -  2:45  The communication requirements of social
   choice rules and supporting budget sets
   Ilya Segal, Stanford University

 2:45 -  3:25  The communication complexity of the private
   value single item bisection auction
   Elena Grigorieva,  P Jean-Jacques Herings, Rudolf Muller, and
   Dries Vermeulen, University Maastricht, the Netherlands

 3:25 -  3:45  Break

 3:45 -  4:30  Market Mechanisms for Redeveloping Spectrum
   Evan Kwerel, FCC

 4:30 -  5:15  Issues in Electricity Market Auction Design
   Richard O'Neill, FERC

 5:15 -  6:15  Panel

 6:30  Dinner

Friday, October 8, 2004

 8:00 -  8:30  Breakfast and Registration

 8:30 -  9:15  Incentive Compatibility in Multi-unit Auctions
   Sushil Bikhchandani, UCLA
 
 9:15 - 10:00  The Over-Concentrating Nature of Simultaneous Ascending Auctions
   Charles Zheng, Northwestern

10:00 - 10:20  Break

10:20 - 11:00  Designing Auction Protocols under Asymmetric Information on
   Nature's Selection
   Takayuki Ito, Nagoya Inst.,  Makoto Yokoo, Kyushu and
   Shigeo Matsubara, NTT

11:00 - 11:40  Elicitation in combinatorial auctions with restricted 
   preferences and bounded interdependency between items
   Vincent Conitzer and Tuomas Sandholm, Carnegie 
   Mellon University, and Paolo Santi, Pisa University
   
11:40 - 12:20  Applying learning algorithms to preference elicitation
   in combinatorial auctions
   Sebastien Lahaie and David C. Parkes, Harvard

12:20 -  1:30  Lunch


 1:30 -  2:15  To auction or not?  Historical perspectives on the development
   of ecommerce
   Andrew Odlyzko, University of Minnesota

 2:15 -  2:55  Non-computational Approaches to Mitigating Computational Problems
   

[Publicity-list] DIMACS Workshop on Computational Issues in Auction Design

2004-08-31 Thread Linda Casals
*
 
DIMACS Workshop on Computational Issues in Auction Design
  
 October 7 - 8, 2004
 DIMACS Center, Rutgers University, Piscataway, NJ

Organizers: 
   
 Jayant Kalagnanam, IBM Watson Lab, [EMAIL PROTECTED]  
 Eric Maskin, School of Social Science, Institute for Advanced
 Study, [EMAIL PROTECTED] 
 David Parkes, Harvard University, [EMAIL PROTECTED] 
 Aleksandar Pekec, Fuqua School of Business, Duke University,
 [EMAIL PROTECTED] 
 Michael Rothkopf, Rutgers University, [EMAIL PROTECTED] 
 
Presented under the auspices of the Special Focus on Computation and
the Socio-Economic Sciences.

 

Recent advances in information technology and its rapid acceptance by
the business community have allowed for the possibility of expediting
complex business transactions. The most prominent example is use of
auctions in corporate procurement and in government deregulation
efforts. When many items with interrelated values are being sold,
economic efficiency can be increased by allowing bidders to make bids
on combinations of items. Procedures for auctioning combinations of
items have inherent computational problems that have to be overcome,
and the emergence of these issues has sparked considerable research
activity in the computer science and combinatorial optimization
communities. The most prominent example is combinatorial auctions in
which multiple goods are auctioned and bidders have and wish to
express different valuations on which goods complement each other and
which goods substitute for each other.

Topics of interest include:
-- expressive bidding languages
-- practical applications (e.g. to electricity, spectrum,...)
-- procurement and e-sourcing
-- combinatorial exchanges
-- preference elicitation
-- optimal auction design
-- approximate mechanisms
-- communication and computation complexity in combinatorial auctions

**
Workshop Program:

Thursday, October 7, 2004 

 8:00 -  8:30  Registration and Breakfast - CoRE Building, 4th Floor

 8:30 -  8:45  Welcome and Opening Remarks
   Fred Roberts, DIMACS Director

 8:45 -  9:30  Characterizing Dominant Strategy Mechanisms with Multi-dimensional types
   Rakesh Vohra, Northwestern

 9:30 - 10:10  Multiitem auctions with credit limits
   Shmeul Oren and Shehzad Wadawala, UC Berkeley

10:10 - 10:30  Break

10:30 - 11:15  Approximation Algorithms for Truthful Mechanisms
   Eva Tardos, Cornell
 
11:15 - 11:55  Tolls for heterogeneous selfish users in multicommodity
   generalized congestion games
   Lisa Fleischer, Carnegie Mellon University, Kamal Jain, MSR and 
   Mohammad Mahdian, MIT

11:55 - 12:35  VCG Overpayment in Random Graphs
   Evdokia Nikolova and  David Karger, MIT

12:35 -  2:00  Lunch

 2:00 -  2:45  The communication requirements of social
   choice rules and supporting budget sets
   Ilya Segal, Stanford University

 2:45 -  3:25  The communication complexity of the private
   value single item bisection auction
   Elena Grigorieva,  P Jean-Jacques Herings, Rudolf Muller, and
   Dries Vermeulen, U. Maastricht

 3:25 -  3:45  Break

 3:45 -  4:30  Market Mechanisms for Redeveloping Spectrum
   Evan Kwerel, FCC

 4:30 -  5:15  Issues in Electricity Market Auction Design
   Richard O'Neill, FERC

 5:15 -  6:15  Panel

 6:30  Dinner

Friday, October 8, 2004

 8:00 -  8:30  Breakfast and Registration

 8:30 -  9:15  Incentive Compatibility in Multi-unit Auctions
   Sushil Bikhchandani, UCLA
 
 9:15 - 10:00  The Over-Concentrating Nature of Simultaneous Ascending Auctions
   Charles Zheng, Northwestern

10:00 - 10:20  Break

10:20 - 11:00  Designing Auction Protocols under Asymmetric Information on
   Nature's Selection
   Takayuki Ito, Nagoya Inst.,  Makoto Yokoo, Kyushu and
   Shigeo Matsubara, NTT

11:00 - 11:40  Towards a Characterization of Polynomial Preference Elicitation
   with Value queries in Combinatorial Auctions
   Paolo Santi, Pisa, Tuomas Sandholm, Carnegie Mellon University and
   Vincent Conitzer, CMU

11:40 - 12:20  Applying learning algorithms to preference elicitation
   in combinatorial auctions
   Sebastien Lahaie and David C. Parkes, Harvard

12:20 -  1:30  Lunch


 1:30 -  2:15  To auction or not?  Historical perspectives on the development
   of ecommerce
   Andrew Odlyzko, University of Minnesota

 2:15 -  2:55  Non-computational Approaches to Mitigating Computational Problems
   in Combinatorial Auctions
   Sasa Pekec, Duke University