Stability and Efficiency of a Random Local Load Balancing Protocol. - Aris Anagnostopoulos; Adam Kirsch; Eli Upfal (FOCS, 2003)

Load Balancing in Arbitrary Network Topologies with Stochastic Adversarial Input. - Aris Anagnostopoulos; Adam Kirsch; Eli Upfal (SIAM J. Comput., 2005)

Distance-Sensitive Bloom Filters. - Adam Kirsch; Michael Mitzenmacher (ALENEX, 2006)

Directly Lower Bounding the Information Capacity for Channels with I.I.D. Deletions and Duplications. - Eleni Drinea; Adam Kirsch (ISIT, 2007)

On threshold behavior in query incentive networks. - Esteban Arcaute; Adam Kirsch; Ravi Kumar 001; David Liben-Nowell; Sergei Vassilvitskii (EC, 2007)

On the performance of multiple choice hash tables with moves on deletes and inserts. - Adam Kirsch; Michael Mitzenmacher (Allerton, 2008)

Less hashing, same performance: Building a better Bloom filter. - Adam Kirsch; Michael Mitzenmacher (Random Struct. Algorithms, 2008)

Simple summaries for hashing with choices. - Adam Kirsch; Michael Mitzenmacher (IEEE/ACM Trans. Netw., 2008)

The Hiring Problem and Lake Wobegon Strategies. - Andrei Z. Broder; Adam Kirsch; Ravi Kumar 001; Michael Mitzenmacher; Eli Upfal; Sergei Vassilvitskii (SIAM J. Comput., 2009)

More Robust Hashing: Cuckoo Hashing with a Stash. - Adam Kirsch; Michael Mitzenmacher; Udi Wieder (SIAM J. Comput., 2009)

Directly lower bounding the information capacity for channels with I.I.D.deletions and duplications. - Adam Kirsch; Eleni Drinea (IEEE Trans. Inf. Theory, 2010)

The Power of One Move: Hashing Schemes for Hardware. - Adam Kirsch; Michael Mitzenmacher (IEEE/ACM Trans. Netw., 2010)

Hash-Based Techniques for High-Speed Packet Processing. - Adam Kirsch; Michael Mitzenmacher; George Varghese (Algorithms for Next Generation Networks, 2010)

An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets. - Adam Kirsch; Michael Mitzenmacher; Andrea Pietracaprina; Geppino Pucci; Eli Upfal; Fabio Vandin (J. ACM, 2012)

Mesa: Geo-Replicated, Near Real-Time, Scalable Data Warehousing. - Ashish Gupta; Fan Yang; Jason Govig; Adam Kirsch; Kelvin Chan; Kevin Lai; Shuo Wu; Sandeep Govind Dhoot; Abhilash Rajesh Kumar; Ankur Agiwal; Sanjay Bhansali; Mingsheng Hong; et al. (Proc. VLDB Endow., 2014)

Mesa: a geo-replicated online data warehouse for Google's advertising system. - Ashish Gupta; Fan Yang; Jason Govig; Adam Kirsch; Kelvin Chan; Kevin Lai; Shuo Wu; Sandeep Govind Dhoot; Abhilash Rajesh Kumar; Ankur Agiwal; Sanjay Bhansali; Mingsheng Hong; et al. (Commun. ACM, 2016)