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2020 – today
- 2024
[c5]Amit Chakrabarti
, Manuel Stoeckl:
Finding Missing Items Requires Strong Forms of Randomness. CCC 2024: 28:1-28:20- [c4]Prantar Ghosh, Manuel Stoeckl:
Low-Memory Algorithms for Online Edge Coloring. ICALP 2024: 71:1-71:19 - 2023
- [c3]Sepehr Assadi, Amit Chakrabarti, Prantar Ghosh, Manuel Stoeckl:
Coloring in Graph Streams via Deterministic and Adversarially Robust Algorithms. PODS 2023: 141-153 - [c2]Manuel Stoeckl:
Streaming algorithms for the missing item finding problem. SODA 2023: 793-818 - [i6]Prantar Ghosh, Manuel Stoeckl:
Low-Memory Algorithms for Online and W-Streaming Edge Coloring. CoRR abs/2304.12285 (2023) - [i5]Amit Chakrabarti, Manuel Stoeckl:
When a random tape is not enough: lower bounds for a problem in adversarially robust streaming. CoRR abs/2310.03634 (2023) - 2022
- [c1]Amit Chakrabarti, Prantar Ghosh, Manuel Stoeckl:
Adversarially Robust Coloring for Graph Streams. ITCS 2022: 37:1-37:23 - [i4]Manuel Stoeckl:
Streaming algorithms for the missing item finding problem. CoRR abs/2211.05170 (2022) - [i3]Sepehr Assadi, Amit Chakrabarti, Prantar Ghosh, Manuel Stoeckl:
Coloring in Graph Streams via Deterministic and Adversarially Robust Algorithms. CoRR abs/2212.10641 (2022) - 2021
- [i2]Amit Chakrabarti, Manuel Stoeckl:
The Element Extraction Problem and the Cost of Determinism and Limited Adaptivity in Linear Queries. CoRR abs/2107.05810 (2021) - [i1]Amit Chakrabarti, Prantar Ghosh, Manuel Stoeckl:
Adversarially Robust Coloring for Graph Streams. CoRR abs/2109.11130 (2021)
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