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ORCIDD. Ellis Hershkowitz
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- affiliation: Brown University, Computer Science Department
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2020 – today
- 2024
[c20]Bernhard Haeupler, D. Ellis Hershkowitz, Zihan Tan:
New Structures and Algorithms for Length-Constrained Expander Decompositions. FOCS 2024: 1634-1645- [c19]MohammadHossein Bateni, Laxman Dhulipala, Kishen N. Gowda, D. Ellis Hershkowitz, Rajesh Jayaram, Jakub Lacki:
It's Hard to HAC Average Linkage! ICALP 2024: 18:1-18:18 - [c18]Bernhard Haeupler
, D. Ellis Hershkowitz, Jason Li, Antti Roeyskoe, Thatchaphol Saranurak:
Low-Step Multi-commodity Flow Emulators. STOC 2024: 71-82 - [c17]D. Ellis Hershkowitz, Nathan Klein, Rico Zenklusen:
Ghost Value Augmentation for k-Edge-Connectivity. STOC 2024: 1853-1864 - [i23]Bernhard Haeupler, D. Ellis Hershkowitz, Zihan Tan:
New Structures and Algorithms for Length-Constrained Expander Decompositions. CoRR abs/2404.13446 (2024) - [i22]MohammadHossein Bateni, Laxman Dhulipala, Kishen N. Gowda, D. Ellis Hershkowitz, Rajesh Jayaram, Jakub Lacki:
It's Hard to HAC with Average Linkage! CoRR abs/2404.14730 (2024) - [i21]MohammadHossein Bateni, Laxman Dhulipala, Willem Fletcher, Kishen N. Gowda, D. Ellis Hershkowitz, Rajesh Jayaram, Jakub Lacki:
Efficient Centroid-Linkage Clustering. CoRR abs/2406.05066 (2024) - [i20]Bernhard Haeupler, D. Ellis Hershkowitz, Jason Li, Antti Roeyskoe, Thatchaphol Saranurak:
Low-Step Multi-Commodity Flow Emulators. CoRR abs/2406.14384 (2024) - [i19]D. Ellis Hershkowitz, Richard Z. Huang:
Simple Length-Constrained Minimum Spanning Trees. CoRR abs/2410.08170 (2024) - 2023
- [c16]Costas Busch, Da Qi Chen, Arnold Filtser, Daniel Hathcock, D. Ellis Hershkowitz, Rajmohan Rajaraman:
One Tree to Rule Them All: Poly-Logarithmic Universal Steiner Tree. FOCS 2023: 60-76 - [c15]Bernhard Haeupler, D. Ellis Hershkowitz, Thatchaphol Saranurak:
Maximum Length-Constrained Flows and Disjoint Paths: Distributed, Deterministic, and Fast. STOC 2023: 1371-1383 - [i18]Bernhard Haeupler, D. Ellis Hershkowitz, Zihan Tan:
Parallel Greedy Spanners. CoRR abs/2304.08892 (2023) - [i17]Costas Busch, Da Qi Chen, Arnold Filtser, Daniel Hathcock, D. Ellis Hershkowitz, Rajmohan Rajaraman:
One Tree to Rule Them All: Poly-Logarithmic Universal Steiner Tree. CoRR abs/2308.01199 (2023) - [i16]D. Ellis Hershkowitz, Nathan Klein, Rico Zenklusen:
Ghost Value Augmentation for k-ECSS and k-ECSM. CoRR abs/2311.09941 (2023) - 2022
- [c14]Bernhard Haepler, D. Ellis Hershkowitz, Goran Zuzic:
Adaptive-Adversary-Robust Algorithms via Small Copy Tree Embeddings. ESA 2022: 63:1-63:14 - [c13]D. Ellis Hershkowitz, Jason Li:
O(1) Steiner Point Removal in Series-Parallel Graphs. ESA 2022: 66:1-66:17 - 2021
- [j2]D. Ellis Hershkowitz, Gregory Kehne, R. Ravi:
An optimal rounding for half-integral weighted minimum strongly connected spanning subgraph. Inf. Process. Lett. 167: 106067 (2021) - [c12]D. Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D. Procaccia:
District-Fair Participatory Budgeting. AAAI 2021: 5464-5471 - [c11]Bernhard Haeupler, D. Ellis Hershkowitz, David Wajc:
Near-Optimal Schedules for Simultaneous Multicasts. ICALP 2021: 78:1-78:19 - [c10]Bernhard Haeupler, D. Ellis Hershkowitz, Goran Zuzic:
Tree embeddings for hop-constrained network design. STOC 2021: 356-369 - [i15]Bernhard Haeupler, D. Ellis Hershkowitz, Goran Zuzic:
Deterministic Tree Embeddings with Copies for Algorithms Against Adaptive Adversaries. CoRR abs/2102.05168 (2021) - [i14]D. Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D. Procaccia:
District-Fair Participatory Budgeting. CoRR abs/2102.06115 (2021) - [i13]D. Ellis Hershkowitz, Jason Li:
O(1) Steiner Point Removal in Series-Parallel Graphs. CoRR abs/2104.00750 (2021) - [i12]David Abel, Cameron Allen, Dilip Arumugam, D. Ellis Hershkowitz, Michael L. Littman, Lawson L. S. Wong:
Bad-Policy Density: A Measure of Reinforcement Learning Hardness. CoRR abs/2110.03424 (2021) - [i11]Bernhard Haeupler, D. Ellis Hershkowitz, Thatchaphol Saranurak:
Fast Algorithms for Hop-Constrained Flows and Moving Cuts. CoRR abs/2111.01422 (2021) - 2020
- [j1]D. Ellis Hershkowitz, Gregory Kehne:
Reverse greedy is bad for k-center. Inf. Process. Lett. 158: 105941 (2020) - [c9]Bernhard Haeupler, D. Ellis Hershkowitz, Anson Kahng, Ariel D. Procaccia:
Computation-Aware Data Aggregation. ITCS 2020: 65:1-65:38 - [i10]Bernhard Haeupler, D. Ellis Hershkowitz, David Wajc:
Near-Optimal Schedules for Simultaneous Multicasts. CoRR abs/2001.00072 (2020) - [i9]D. Ellis Hershkowitz, Gregory Kehne, R. Ravi:
An Optimal Rounding for Half-Integral Weighted Minimum Strongly Connected Spanning Subgraph. CoRR abs/2011.06108 (2020) - [i8]Bernhard Haeupler, D. Ellis Hershkowitz, Goran Zuzic:
Tree Embeddings for Hop-Constrained Network Design. CoRR abs/2011.06112 (2020)
2010 – 2019
- 2019
- [c8]David Ellis Hershkowitz, R. Ravi, Sahil Singla:
Prepare for the Expected Worst: Algorithms for Reconfigurable Resources Under Uncertainty. APPROX-RANDOM 2019: 4:1-4:19 - [c7]Yuu Jinnai, David Abel, David Ellis Hershkowitz, Michael L. Littman, George Dimitri Konidaris:
Finding Options that Minimize Planning Time. ICML 2019: 3120-3129 - [c6]Keren Censor-Hillel, Bernhard Haeupler, D. Ellis Hershkowitz, Goran Zuzic:
Erasure Correction for Noisy Radio Networks. DISC 2019: 10:1-10:17 - 2018
- [c5]Bernhard Haeupler, D. Ellis Hershkowitz, David Wajc:
Round- and Message-Optimal Distributed Graph Algorithms. PODC 2018: 119-128 - [i7]Bernhard Haeupler, D. Ellis Hershkowitz, David Wajc:
Round- and Message-Optimal Distributed Part-Wise Aggregation. CoRR abs/1801.05127 (2018) - [i6]Keren Censor-Hillel, Bernhard Haeupler, D. Ellis Hershkowitz, Goran Zuzic:
Erasure Correction for Noisy Radio Networks. CoRR abs/1805.04165 (2018) - [i5]Bernhard Haeupler, D. Ellis Hershkowitz, Anson Kahng, Ariel D. Procaccia:
A Computational Approach to Organizational Structure. CoRR abs/1806.05701 (2018) - [i4]D. Ellis Hershkowitz, Gregory Kehne:
Reverse Greedy is Bad for k-Center. CoRR abs/1810.01834 (2018) - [i3]D. Ellis Hershkowitz, R. Ravi, Sahil Singla:
Prepare for the Expected Worst: Algorithms for Reconfigurable Resources Under Uncertainty. CoRR abs/1811.11635 (2018) - 2017
- [c4]Keren Censor-Hillel, Bernhard Haeupler, D. Ellis Hershkowitz, Goran Zuzic:
Broadcasting in Noisy Radio Networks. PODC 2017: 33-42 - [i2]David Abel, D. Ellis Hershkowitz, Michael L. Littman:
Near Optimal Behavior via Approximate State Abstraction. CoRR abs/1701.04113 (2017) - [i1]Keren Censor-Hillel, Bernhard Haeupler, D. Ellis Hershkowitz, Goran Zuzic:
Broadcasting in Noisy Radio Networks. CoRR abs/1705.07369 (2017) - 2016
- [c3]David Abel, D. Ellis Hershkowitz, Michael L. Littman:
Near Optimal Behavior via Approximate State Abstraction. ICML 2016: 2915-2923 - 2015
- [c2]David Ellis Hershkowitz, James MacGlashan, Stefanie Tellex:
Learning Propositional Functions for Planning and Reinforcement Learning. AAAI Fall Symposia 2015: 38-45 - [c1]David Abel, D. Ellis Hershkowitz, Gabriel Barth-Maron, Stephen Brawner, Kevin O'Farrell, James MacGlashan, Stefanie Tellex:
Goal-Based Action Priors. ICAPS 2015: 306-314
Coauthor Index
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