Simple Regression Models. - Jan Malte Lichtenberg; Özgür Simsek (IDM@NIPS, 2016)

Regularization in directable environments with application to Tetris. - Jan Malte Lichtenberg; Özgür Simsek (ICML, 2019)

Iterative Policy-Space Expansion in Reinforcement Learning. - Jan Malte Lichtenberg; Özgür Simsek (CoRR, 2019)

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)

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)

Ranking Across Different Content Types: The Robust Beauty of Multinomial Blending. - Jan Malte Lichtenberg; Giuseppe Di Benedetto; Matteo Ruffini (RecSys, 2024)

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)