Quasi-Monte Carlo Variational Inference. - Alexander Buchholz; Florian Wenzel; Stephan Mandt (ICML, 2018)

Augmented Reality in Education: Three Unique Characteristics from a User's Perspective. - Jule M. Krüger; Alexander Buchholz; Daniel Bodemer (ICCE, 2019)

Ranker-agnostic Contextual Position Bias Estimation. - Oriol Barbany Mayor; Vito Bellini; Alexander Buchholz; Giuseppe Di Benedetto; Diego Marco Granziol; Matteo Ruffini; Yannik Stein (CoRR, 2021)

Fair Effect Attribution in Parallel Online Experiments. - Alexander Buchholz; Vito Bellini; Giuseppe Di Benedetto; Yannik Stein; Matteo Ruffini; Fabian Moerchen (WWW (Companion Volume), 2022)

Modeling Position Bias Ranking for Streaming Media Services. - Matteo Ruffini; Vito Bellini; Alexander Buchholz; Giuseppe Di Benedetto; Yannik Stein (WWW (Companion Volume), 2022)

Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling. - Alexander Buchholz; Jan Malte Lichtenberg; Giuseppe Di Benedetto; Yannik Stein; Vito Bellini; Matteo Ruffini (CoRR, 2022)

Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model. - Alexander Buchholz; Ben London 001; Giuseppe Di Benedetto; Thorsten Joachims (CoRR, 2022)

Contextual Position Bias Estimation Using a Single Stochastic Logging Policy. - Giuseppe Di Benedetto; Alexander Buchholz; Ben London 001; Matej Jakimov; Yannik Stein; Jan Malte Lichtenberg; Vito Bellini; Matteo Ruffini; Thorsten Joachims (LERI@RecSys, 2023)

Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation. - Jan Malte Lichtenberg; Alexander Buchholz; Giuseppe Di Benedetto; Matteo Ruffini; Ben London 001 (CoRR, 2023)

Unbiased Offline Evaluation for Learning to Rank with Business Rules. - Matej Jakimov; Alexander Buchholz; Yannik Stein; Thorsten Joachims (CoRR, 2023)

Counterfactual Ranking Evaluation with Flexible Click Models. - Alexander Buchholz; Ben London 001; Giuseppe Di Benedetto; Jan Malte Lichtenberg; Yannik Stein; Thorsten Joachims (SIGIR, 2024)

Large Language Models as Recommender Systems: A Study of Popularity Bias. - Jan Malte Lichtenberg; Alexander Buchholz; Pola Schwöbel (CoRR, 2024)

SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents. - Muhammad Shihab Rashid; Christian Bock; Yuan Zhuang; Alexander Buchholz; Timothy B. Esler; Simon Valentin; Luca Franceschi 003; Martin Wistuba; Prabhu Teja Sivaprasad; Woo Jung Kim; Anoop Deoras; Giovanni Zappella; et al. (CoRR, 2025)