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Travelled to:
1 × Austria
1 × Canada
1 × Finland
1 × Greece
1 × Israel
1 × Italy
1 × Japan
1 × Spain
1 × Sweden
9 × USA
Collaborated with:
M.Yannakakis K.Jain U.V.Vazirani N.Garg J.Garg R.Mehta R.M.Karp L.J.Schulman L.G.Valiant D.Chakrabarty A.Mehta S.Khuller S.G.Mitchell K.Mulmuley S.Yazdanbod M.A.Sohoni M.Adler E.Halperin D.P.Williamson M.X.Goemans M.Mihail
Talks about:
algorithm (9) approxim (5) applic (4) match (4) problem (3) weight (3) primal (3) easi (3) dual (3) cut (3)

Person: Vijay V. Vazirani

DBLP DBLP: Vazirani:Vijay_V=

Contributed to:

ICALP (1) 20152015
STOC 20142014
STOC 20122012
STOC 20072007
ICALP (1) 20062006
STOC 20032003
STOC 20022002
STOC 20012001
STOC 19991999
ICALP 19941994
ICALP 19931993
STOC 19931993
ICALP 19921992
ICALP 19911991
STOC 19901990
ICALP 19881988
STOC 19871987
STOC 19851985

Wrote 20 papers:

ICALP-v1-2015-GargMVY #multi #nash #symmetry
ETR-Completeness for Decision Versions of Multi-player (Symmetric) Nash Equilibria (JG, RM, VVV, SY), pp. 554–566.
STOC-2014-GargMV #algorithm #equilibrium
Dichotomies in equilibrium computation, and complementary pivot algorithms for a new class of non-separable utility functions (JG, RM, VVV), pp. 525–534.
STOC-2012-GargMSV #algorithm
A complementary pivot algorithm for markets under separable, piecewise-linear concave utilities (JG, RM, MAS, VVV), pp. 1003–1016.
STOC-2007-JainV #algorithm
Eisenberg-Gale markets: algorithms and structural properties (KJ, VVV), pp. 364–373.
ICALP-v1-2006-ChakrabartyMV #design #optimisation
Design Is as Easy as Optimization (DC, AM, VVV), pp. 477–488.
STOC-2003-AdlerHKV #network #peer-to-peer #probability #process
A stochastic process on the hypercube with applications to peer-to-peer networks (MA, EH, RMK, VVV), pp. 575–584.
STOC-2002-JainV #algorithm
Equitable cost allocations via primal-dual-type algorithms (KJ, VVV), pp. 313–321.
STOC-2001-JainV #algorithm #approximate #game studies
Applications of approximation algorithms to cooperative games (KJ, VVV), pp. 364–372.
STOC-1999-SchulmanV #approximate #problem
Majorizing Estimators and the Approximation of #P-Complete Problems (LJS, VVV), pp. 288–294.
ICALP-1994-GargVY #graph #multi
Multiway Cuts in Directed and Node Weighted Graphs (NG, VVV, MY), pp. 487–498.
ICALP-1993-GargVY #algorithm #approximate #multi #set
Primal-Dual Approximation Algorithms for Integral Flow and Multicut in Trees, with Applications to Matching and Set Cover (NG, VVV, MY), pp. 64–75.
STOC-1993-GargVY #approximate #multi #theorem
Approximate max-flow min-(multi)cut theorems and their applications (NG, VVV, MY), pp. 698–707.
STOC-1993-WilliamsonGMV #algorithm #approximate #network #problem
A primal-dual approximation algorithm for generalized Steiner network problems (DPW, MXG, MM, VVV), pp. 708–717.
ICALP-1992-VaziraniY
Suboptimal Cuts: Their Enumeration, Weight and Number (VVV, MY), pp. 366–377.
ICALP-1991-KhullerMV #algorithm #online
On-Line Algorithms for Weighted Bipartite Matching and Stable Marriages (SK, SGM, VVV), pp. 728–738.
STOC-1990-KarpVV #algorithm #online
An Optimal Algorithm for On-line Bipartite Matching (RMK, UVV, VVV), pp. 352–358.
ICALP-1988-VaziraniY #graph
Pfaffian Orientations, 0/1 Permanents, and Even Cycles in Directed Graphs (VVV, MY), pp. 667–681.
STOC-1987-MulmuleyVV #matrix
Matching Is as Easy as Matrix Inversion (KM, UVV, VVV), pp. 345–354.
STOC-1985-ValiantV #detection
NP Is as Easy as Detecting Unique Solutions (LGV, VVV), pp. 458–463.
STOC-1985-VaziraniV #problem #scheduling
The Two-Processor Scheduling Problem is in R-NC (UVV, VVV), pp. 11–21.

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