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David Eisenstat
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2020 – today
- 2022
- [c17]Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab Mirrokni, Jessica Shi:
Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth. NeurIPS 2022 - [c16]Christopher Harshaw, Fredrik Sävje, David Eisenstat, Vahab Mirrokni, Jean Pouget-Abadie:
Design and Analysis of Bipartite Experiments Under a Linear Exposure-response Model. EC 2022: 606 - [i9]Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab Mirrokni, Jessica Shi:
Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth. CoRR abs/2206.11654 (2022) - 2021
- [j12]Jessica Shi, Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab S. Mirrokni:
Scalable Community Detection via Parallel Correlation Clustering. Proc. VLDB Endow. 14(11): 2305-2313 (2021) - [c15]Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab S. Mirrokni, Jessica Shi:
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time. ICML 2021: 2676-2686 - [i8]Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab S. Mirrokni, Jessica Shi:
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time. CoRR abs/2106.05610 (2021) - [i7]Jessica Shi, Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab S. Mirrokni:
Scalable Community Detection via Parallel Correlation Clustering. CoRR abs/2108.01731 (2021)
2010 – 2019
- 2017
- [c14]Dan Alistarh, James Aspnes, David Eisenstat, Rati Gelashvili, Ronald L. Rivest:
Time-Space Trade-offs in Population Protocols. SODA 2017: 2560-2579 - 2016
- [i6]Dan Alistarh, James Aspnes, David Eisenstat, Rati Gelashvili, Ronald L. Rivest:
Time-Space Trade-offs in Population Protocols. CoRR abs/1602.08032 (2016) - 2014
- [b1]David Eisenstat:
Toward Practical Planar Graph Algorithms. Brown University, USA, 2014 - [j11]Dana Angluin, James Aspnes, Rida A. Bazzi, Jiang Chen, David Eisenstat, Goran Konjevod
:
Effective storage capacity of labeled graphs. Inf. Comput. 234: 44-56 (2014) - [c13]David Eisenstat, Claire Mathieu, Nicolas Schabanel:
Facility Location in Evolving Metrics. ICALP (2) 2014: 459-470 - [c12]David Eisenstat, Philip N. Klein, Claire Mathieu:
Approximating k-center in planar graphs. SODA 2014: 617-627 - [i5]David Eisenstat, Claire Mathieu, Nicolas Schabanel:
Facility Location in Evolving Metrics. CoRR abs/1403.6758 (2014) - 2013
- [c11]David Eisenstat, Philip N. Klein:
Linear-time algorithms for max flow and multiple-source shortest paths in unit-weight planar graphs. STOC 2013: 735-744 - 2012
- [j10]James Aspnes, David Eisenstat, Yitong Yin:
Low-contention data structures. J. Parallel Distributed Comput. 72(5): 705-715 (2012) - [c10]David Eisenstat, Philip N. Klein, Claire Mathieu:
An efficient polynomial-time approximation scheme for Steiner forest in planar graphs. SODA 2012: 626-638 - 2011
- [c9]David Eisenstat:
Random Road Networks: The Quadtree Model. ANALCO 2011: 76-84 - [i4]David Eisenstat, Philip N. Klein, Claire Mathieu:
An efficient polynomial-time approximation scheme for Steiner forest in planar graphs. CoRR abs/1110.1320 (2011) - 2010
- [c8]Dana Angluin, David Eisenstat, Leonid Kontorovich, Lev Reyzin:
Lower Bounds on Learning Random Structures with Statistical Queries. ALT 2010: 194-208 - [c7]James Aspnes, David Eisenstat, Yitong Yin:
Low-contention data structures. SPAA 2010: 345-354 - [c6]Dana Angluin, James Aspnes, Rida A. Bazzi, Jiang Chen, David Eisenstat, Goran Konjevod
:
Storage Capacity of Labeled Graphs. SSS 2010: 573-587 - [i3]David Eisenstat:
Random road networks: the quadtree model. CoRR abs/1008.4916 (2010)
2000 – 2009
- 2009
- [j9]David Eisenstat:
k-Fold unions of low-dimensional concept classes. Inf. Process. Lett. 109(23-24): 1232-1234 (2009) - [j8]Dana Angluin, James Aspnes, Jiang Chen, David Eisenstat, Lev Reyzin:
Learning Acyclic Probabilistic Circuits Using Test Paths. J. Mach. Learn. Res. 10: 1881-1911 (2009) - 2008
- [j7]David Eisenstat, Jennifer Feder, Greg Francos, Gary Gordon, Amanda Redlich:
Expected rank and randomness in rooted graphs. Discret. Appl. Math. 156(5): 746-756 (2008) - [j6]Dana Angluin, James Aspnes, David Eisenstat:
A simple population protocol for fast robust approximate majority. Distributed Comput. 21(2): 87-102 (2008) - [j5]Dana Angluin, James Aspnes, David Eisenstat:
Fast computation by population protocols with a leader. Distributed Comput. 21(3): 183-199 (2008) - [j4]David Eisenstat, Gary Gordon, Amanda Redlich:
Combinatorial Properties of a Rooted Graph Polynomial. SIAM J. Discret. Math. 22(2): 776-785 (2008) - [c5]Dana Angluin, James Aspnes, Jiang Chen, David Eisenstat, Lev Reyzin:
Learning Acyclic Probabilistic Circuits Using Test Paths. COLT 2008: 169-180 - [i2]David Eisenstat:
A two-enqueuer queue. CoRR abs/0805.0444 (2008) - 2007
- [j3]Dana Angluin, James Aspnes, David Eisenstat, Eric Ruppert:
The computational power of population protocols. Distributed Comput. 20(4): 279-304 (2007) - [j2]David Eisenstat, Dana Angluin:
The VC dimension of k-fold union. Inf. Process. Lett. 101(5): 181-184 (2007) - [c4]Dana Angluin, James Aspnes, David Eisenstat:
A Simple Population Protocol for Fast Robust Approximate Majority. DISC 2007: 20-32 - 2006
- [j1]David Eisenstat, Gary Gordon:
Non-isomorphic caterpillars with identical subtree data. Discret. Math. 306(8-9): 827-830 (2006) - [c3]Dana Angluin, James Aspnes, David Eisenstat:
Stably computable predicates are semilinear. PODC 2006: 292-299 - [c2]Dana Angluin, James Aspnes, David Eisenstat:
Fast Computation by Population Protocols with a Leader. DISC 2006: 61-75 - [i1]Dana Angluin, James Aspnes, David Eisenstat, Eric Ruppert:
The computational power of population protocols. CoRR abs/cs/0608084 (2006) - 2005
- [c1]Dana Angluin, James Aspnes, David Eisenstat, Eric Ruppert:
On the Power of Anonymous One-Way Communication. OPODIS 2005: 396-411
Coauthor Index
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