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Piersilvio De Bartolomeis

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2024
[c2]
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  - conf/aistats/BartolomeisMDY24
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Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang:
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. AISTATS 2024: 1045-1053
[i4]
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  - journals/corr/abs-2404-18905
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  - https://dblp.org/rec/journals/corr/abs-2404-18905
Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser, Fanny Yang:
Detecting critical treatment effect bias in small subgroups. CoRR abs/2404.18905 (2024)
2023
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  - journals/jmlr/MuttiSBR23
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Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli:
Convex Reinforcement Learning in Finite Trials. J. Mach. Learn. Res. 24: 250:1-250:42 (2023)
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  - journals/corr/abs-2306-06995
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Piersilvio De Bartolomeis, Jacob Clarysse, Amartya Sanyal, Fanny Yang:
How robust accuracy suffers from certified training with convex relaxations. CoRR abs/2306.06995 (2023)
[i2]
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  - journals/corr/abs-2312-03871
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Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang:
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. CoRR abs/2312.03871 (2023)
2022
[c1]
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Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli:
Challenging Common Assumptions in Convex Reinforcement Learning. NeurIPS 2022
[i1]
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  - journals/corr/abs-2202-01511
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Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli:
Challenging Common Assumptions in Convex Reinforcement Learning. CoRR abs/2202.01511 (2022)

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