Contributions

All accepted contributions in alphabetical order:

• A Simple Model to Estimate Sharing Effects in Social Networks
  Olivier Jeunen
  [arXiv]

• A Simpler Alternative to Variational Regularized Counterfactual Risk Minimization
  Hua Chang Bakker, Shashank Gupta and Harrie Oosterhuis
  [arXiv]

• Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning
  Yimeng Jia, Kaushal Paneri, Rong Huang, Kailash Singh Maurya, Pavan Mallapragada and Yifan Shi
  [arXiv]

• AutoOPE: Automated Off-Policy Estimator Selection
  Nicolò Felicioni, Michael Benigni and Maurizio Ferrari Dacrema
  [arXiv]

• Batched Online Contextual Sparse Bandits with Sequential Inclusion of Features
  Rowan Swiers, Subash Prabanantham and Andrew Maher
  [arXiv]

• Causal Discovery in Recommender Systems: Example and Discussion
  Emanuele Cavenaghi, Fabio Stella and Markus Zanker
  [arXiv]

• Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
  Zhenyu Zhao and Yexi Jiang
  [arXiv]

• Combining Open-box Simulation and Importance Sampling for Tuning Large-Scale Recommenders
  Kaushal Paneri, Michael J. Munje, Kailash Singh Maurya, Adith Swaminathan and Yifan Shi
  [arXiv]

• Counterfactual Evaluation of Ads Ranking Models through Domain Adaptation
  Mohamed Attia Radwan, Himaghna Bhattacharjee, Quinn Lanners, Jiasheng Zhang, Serkan Karakulak, Houssam Nassif and Murat Bayir
  [arXiv]

• Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
  Otmane Sakhi, Imad Aouali, Pierre Alquier and Nicolas Chopin
  [arXiv]

• Measuring Recency Bias In Sequential Recommendation Systems
  Jeonglyul Oh and Sungzoon Cho
  [arXiv]

• Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank
  Shashank Gupta, Harrie Oosterhuis and Maarten de Rijke
  [arXiv]

• Segment Discovery: Enhancing E-commerce Targeting
  Qiqi Li, Roopali Singh, Charin Polpanumas, Tanner Fiez, Namita Kumar and Shreya Chakrabarti
  [arXiv]

• The Importance of Causality in Decision Making: A Perspective on Recommender Systems
  Emanuele Cavenaghi, Alessio Zanga, Fabio Stella and Markus Zanker
  [ACM ToRS]

• The Relevance of Item-Co-Exposure For Exposure Bias Mitigation
  Thorsten Krause, Alina Deriyeva, Jan Heinrich Beinke, Gerrit Bartels and Oliver Thomas
  [arXiv]

• Understanding the Effects of the Baidu-ULTR Logging Policy on Two Tower Models
  Morris de Haan and Philipp Hager
  [arXiv]