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Alexander Hägele

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Conference and Workshop Papers

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2023
[c2]
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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/aistats/HageleRLSS023
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  - https://dblp.org/rec/conf/aistats/HageleRLSS023
Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause:
BaCaDI: Bayesian Causal Discovery with Unknown Interventions. AISTATS 2023: 1411-1436
2021
[c1]
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  dblp key:
  - conf/pldi/MirmanHBGV21
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  - https://dblp.org/rec/conf/pldi/MirmanHBGV21
Matthew Mirman, Alexander Hägele, Pavol Bielik, Timon Gehr, Martin T. Vechev:
Robustness certification with generative models. PLDI 2021: 1141-1154

Informal and Other Publications

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2024
[i2]
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  - journals/corr/abs-2405-18392
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  - https://dblp.org/rec/journals/corr/abs-2405-18392
Alexander Hägele, Elie Bakouch, Atli Kosson, Loubna Ben Allal, Leandro von Werra, Martin Jaggi:
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations. CoRR abs/2405.18392 (2024)
2022
[i1]
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  - journals/corr/abs-2206-01665
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  - https://dblp.org/rec/journals/corr/abs-2206-01665
Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause:
BaCaDI: Bayesian Causal Discovery with Unknown Interventions. CoRR abs/2206.01665 (2022)

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