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Nicola Branchini

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2020 – today

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2024
[c5]
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  - conf/aistats/KvimanBEL24
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  - https://dblp.org/rec/conf/aistats/KvimanBEL24
Oskar Kviman, Nicola Branchini, Víctor Elvira, Jens Lagergren:
Variational Resampling. AISTATS 2024: 3286-3294
[c4]
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  - conf/aistats/GuilmeauBCE24
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Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Victor Elvira:
Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization. AISTATS 2024: 3871-3879
[c3]
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  - conf/clear2/FelekisZBD24
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Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini, Theodoros Damoulas:
Causal Optimal Transport of Abstractions. CLeaR 2024: 462-498
2023
[c2]
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  dblp key:
  - conf/aistats/BranchiniADD23
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Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas:
Causal Entropy Optimization. AISTATS 2023: 8586-8605
[i2]
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  - journals/corr/abs-2312-08107
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  - https://dblp.org/rec/journals/corr/abs-2312-08107
Yorgos Felekis, Fabio Massimo Zennaro, Nicola Branchini, Theodoros Damoulas:
Causal Optimal Transport of Abstractions. CoRR abs/2312.08107 (2023)
2022
[i1]
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  - journals/corr/abs-2208-10981
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Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas:
Causal Entropy Optimization. CoRR abs/2208.10981 (2022)
2021
[c1]
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  dblp key:
  - conf/uai/BranchiniE21
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Nicola Branchini, Víctor Elvira:
Optimized auxiliary particle filters: adapting mixture proposals via convex optimization. UAI 2021: 1289-1299

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