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Meghdad Kurmanji
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2020 – today
- 2024
- [j2]Meghdad Kurmanji
, Eleni Triantafillou
, Peter Triantafillou
:
Machine Unlearning in Learned Databases: An Experimental Analysis. Proc. ACM Manag. Data 2(1): 49:1-49:26 (2024) - [i5]Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou, Peter Triantafillou:
What makes unlearning hard and what to do about it. CoRR abs/2406.01257 (2024) - [i4]Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa, Jamie Hayes, Meghdad Kurmanji, Kairan Zhao, Vincent Dumoulin, Júlio C. S. Jacques Júnior, Ioannis Mitliagkas, Jun Wan, Lisheng Sun-Hosoya, Sergio Escalera, Gintare Karolina Dziugaite, Peter Triantafillou, Isabelle Guyon:
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition. CoRR abs/2406.09073 (2024) - 2023
- [j1]Meghdad Kurmanji
, Peter Triantafillou
:
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data. Proc. ACM Manag. Data 1(1): 33:1-33:27 (2023) - [c3]Meghdad Kurmanji, Peter Triantafillou, Jamie Hayes, Eleni Triantafillou:
Towards Unbounded Machine Unlearning. NeurIPS 2023 - [i3]Meghdad Kurmanji, Peter Triantafillou, Eleni Triantafillou:
Towards Unbounded Machine Unlearning. CoRR abs/2302.09880 (2023) - [i2]Meghdad Kurmanji, Eleni Triantafillou, Peter Triantafillou:
Machine Unlearning in Learned Databases: An Experimental Analysis. CoRR abs/2311.17276 (2023) - 2022
- [i1]Meghdad Kurmanji, Peter Triantafillou:
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data. CoRR abs/2210.05508 (2022) - 2021
- [c2]Qingzhi Ma, Ali Mohammadi Shanghooshabad, Mehrdad Almasi, Meghdad Kurmanji, Peter Triantafillou:
Learned Approximate Query Processing: Make it Light, Accurate and Fast. CIDR 2021 - [c1]Ali Mohammadi Shanghooshabad, Meghdad Kurmanji, Qingzhi Ma, Michael Shekelyan
, Mehrdad Almasi
, Peter Triantafillou:
PGMJoins: Random Join Sampling with Graphical Models. SIGMOD Conference 2021: 1610-1622
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last updated on 2024-07-10 21:29 CEST by the dblp team
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