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Giuseppe Di Benedetto
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2020 – today
- 2024
- [c7]Jan Malte Lichtenberg, Giuseppe Di Benedetto, Matteo Ruffini:
Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending. RecSys 2024: 823-825 - [c6]Alexander Buchholz, Ben London, Giuseppe Di Benedetto, Jan Malte Lichtenberg, Yannik Stein, Thorsten Joachims:
Counterfactual Ranking Evaluation with Flexible Click Models. SIGIR 2024: 1200-1210 - [i8]Jan Malte Lichtenberg, Giuseppe Di Benedetto, Matteo Ruffini:
Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending. CoRR abs/2408.09168 (2024) - 2023
- [c5]Giuseppe Di Benedetto, Alexander Buchholz, Ben London, Matej Jakimov, Yannik Stein, Jan Malte Lichtenberg, Vito Bellini, Matteo Ruffini, Thorsten Joachims:
Contextual Position Bias Estimation Using a Single Stochastic Logging Policy. LERI@RecSys 2023: 55-61 - [i7]Jan Malte Lichtenberg, Alexander Buchholz, Giuseppe Di Benedetto, Matteo Ruffini, Ben London:
Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation. CoRR abs/2309.01120 (2023) - 2022
- [c4]Matteo Ruffini, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Yannik Stein:
Modeling Position Bias Ranking for Streaming Media Services. WWW (Companion Volume) 2022: 72-76 - [c3]Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen:
Fair Effect Attribution in Parallel Online Experiments. WWW (Companion Volume) 2022: 77-83 - [i6]Alexander Buchholz, Jan Malte Lichtenberg, Giuseppe Di Benedetto, Yannik Stein, Vito Bellini, Matteo Ruffini:
Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling. CoRR abs/2205.06024 (2022) - [i5]Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen:
Fair Effect Attribution in Parallel Online Experiments. CoRR abs/2210.08338 (2022) - [i4]Alexander Buchholz, Ben London, Giuseppe Di Benedetto, Thorsten Joachims:
Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model. CoRR abs/2210.09512 (2022) - 2021
- [i3]Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Diego Marco Granziol, Matteo Ruffini, Yannik Stein:
Ranker-agnostic Contextual Position Bias Estimation. CoRR abs/2107.13327 (2021) - 2020
- [c2]Giuseppe Di Benedetto, Francois Caron, Yee Whye Teh:
Non-exchangeable feature allocation models with sublinear growth of the feature sizes. AISTATS 2020: 3208-3218 - [c1]Fadhel Ayed, Marco Battiston, Giuseppe Di Benedetto:
A Bayesian Nonparametric Approach to Differentially Private Data. PSD 2020: 32-48 - [i2]Giuseppe Di Benedetto, François Caron, Yee Whye Teh:
Non-exchangeable feature allocation models with sublinear growth of the feature sizes. CoRR abs/2003.13491 (2020) - [i1]Giuseppe Di Benedetto, Vito Bellini, Giovanni Zappella:
A Linear Bandit for Seasonal Environments. CoRR abs/2004.13576 (2020)
Coauthor Index
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