activity
20092019
most citedIgnorance is Almost Bliss: Near-Optimal Stochastic Matching With Few Queries

13 citations · 38 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2019

Algorithms and Improved bounds for online learning under finite hypothesis class

Ankit Sharma, Late C. A. Murthy

Online learning is the process of answering a sequence of questions based on the correct answers to the previous questions. It is studied in many research areas such as game theory…

cs.IR2017★ 3 cited

Leveraging web resources for keyword assignment to short text documents

Ayush Singhal, Ravindra Kasturi, Ankit Sharma +1

Assigning relevant keywords to documents is very important for efficient retrieval, clustering and management of the documents. Especially with the web corpus deluged with digital…

cs.DS2014★ 13 cited

Ignorance is Almost Bliss: Near-Optimal Stochastic Matching With Few Queries

Avrim Blum, John P. Dickerson, Nika Haghtalab +3

The stochastic matching problem deals with finding a maximum matching in a graph whose edges are unknown but can be accessed via queries. This is a special case of stochastic -s…

cs.DS2013★ 3 cited

Multiway Cut, Pairwise Realizable Distributions, and Descending Thresholds

Ankit Sharma, Jan Vondrák

We design new approximation algorithms for the Multiway Cut problem, improving the previously known factor of 1.32388 [Buchbinder et al., 2013]. We proceed in three steps. First, w…

cs.DS2013★ 10 cited

On the Approximation of Submodular Functions

Nikhil R. Devanur, Shaddin Dughmi, Roy Schwartz +2

Submodular functions are a fundamental object of study in combinatorial optimization, economics, machine learning, etc. and exhibit a rich combinatorial structure. Many subclasses…

cs.GT2011

Welfare and Profit Maximization with Production Costs

Avrim Blum, Anupam Gupta, Yishay Mansour +1

Combinatorial Auctions are a central problem in Algorithmic Mechanism Design: pricing and allocating goods to buyers with complex preferences in order to maximize some desired obje…