Jan Vondrák spends much of his time researching Combinatorics, Submodular set function, Discrete mathematics, Matroid and Approximation algorithm. His research investigates the connection between Combinatorics and topics such as Greedy algorithm that intersect with problems in Hypergraph. His work carried out in the field of Submodular set function brings together such families of science as Cardinality and Generalized assignment problem.
His study ties his expertise on Knapsack problem together with the subject of Discrete mathematics. In his study, which falls under the umbrella issue of Matroid, Randomized rounding, Bipartite graph, Spanning tree and Function is strongly linked to Polytope. His Approximation algorithm study is concerned with the field of Mathematical optimization as a whole.
Jan Vondrák focuses on Combinatorics, Submodular set function, Discrete mathematics, Matroid and Approximation algorithm. As a part of the same scientific family, Jan Vondrák mostly works in the field of Combinatorics, focusing on Upper and lower bounds and, on occasion, Maximization. He has researched Submodular set function in several fields, including Function, Cardinality and Greedy algorithm.
His biological study deals with issues like Bounded function, which deal with fields such as Algorithm and Supermodular function. His Matroid research is multidisciplinary, incorporating elements of Disjoint sets, Reduction and Matching. Many of his studies on Approximation algorithm apply to Knapsack problem as well.
Jan Vondrák mostly deals with Submodular set function, Combinatorics, Function, Degree and Bounded function. His Submodular set function study combines topics from a wide range of disciplines, such as Cardinality, Approximation algorithm, Combinatorial optimization and Greedy algorithm. His research in Approximation algorithm intersects with topics in Mathematical economics, Supermodular function, Matroid and Constant factor.
The study incorporates disciplines such as Local search, Heuristics and Resolution in addition to Greedy algorithm. His Combinatorics study combines topics in areas such as Probabilistic logic and Lattice. His Bounded function research is multidisciplinary, incorporating perspectives in Range and Algorithm.
Jan Vondrák mainly focuses on Uniformly stable, Generalization, Algorithm, Range and Bounded function. His Uniformly stable research includes a combination of various areas of study, such as Generalization error, Stochastic gradient descent, Sampling error and High probability. He has included themes like Function, Lovász local lemma and Degree in his Bounded function study.
His work carried out in the field of Function brings together such families of science as Approximation algorithm, Matroid, Combinatorics and Supermodular function.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Maximizing a Monotone Submodular Function Subject to a Matroid Constraint
Gruia Calinescu;Chandra Chekuri;Martin Pál;Jan Vondrák.
SIAM Journal on Computing (2011)
Optimal approximation for the submodular welfare problem in the value oracle model
Jan Vondrak.
symposium on the theory of computing (2008)
Maximizing Non-monotone Submodular Functions
Uriel Feige;Vahab S. Mirrokni;Jan Vondrák.
SIAM Journal on Computing (2011)
Maximizing a Submodular Set Function subject to a Matroid Constraint
Chandra Chekuri;Gruia Calinescu;Martin Pál;Jan Vondrák.
integer programming and combinatorial optimization (2007)
Approximating the Stochastic Knapsack Problem: The Benefit of Adaptivity
Brian C. Dean;Michel X. Goemans;Jan Vondrák.
Mathematics of Operations Research (2008)
Approximation algorithms for allocation problems: Improving the factor of 1 - 1/e
U. Feige;J. Vondrak.
foundations of computer science (2006)
Maximizing Non-Monotone Submodular Functions
U. Feigc;V.S. Mirrokni;J. Vondrak.
foundations of computer science (2007)
Lazier than lazy greedy
Baharan Mirzasoleiman;Ashwinkumar Badanidiyuru;Amin Karbasi;Jan Vondrák.
national conference on artificial intelligence (2015)
Fast algorithms for maximizing submodular functions
Ashwinkumar Badanidiyuru;Jan Vondrák.
symposium on discrete algorithms (2014)
Maximizing a Submodular Set Function Subject to a Matroid Constraint (Extended Abstract)
Gruia Calinescu;Chandra Chekuri;Martin Pál;Jan Vondrák.
integer programming and combinatorial optimization (2007)
Apple (United States)
University of Illinois at Urbana-Champaign
Yahoo (United Kingdom)
ETH Zurich
Columbia University
Weizmann Institute of Science
Google (United States)
University of California, Santa Cruz
University of Massachusetts Amherst
Profile was last updated on December 6th, 2021.
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