| 2025 | WWW | Combining A/A Data and LLMs for Improved Content Evaluation. | Shiv Shankar, Ritwik Sinha, Madalina Fiterau |
| 2025 | UAI | Experimentation under Treatment Dependent Network Interference. | Shiv Shankar, Ritwik Sinha, Madalina Fiterau |
| 2024 | AISTATS | A/B testing under Interference with Partial Network Information. | Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau |
| 2024 | ICML | On Online Experimentation without Device Identifiers. | Shiv Shankar, Ritwik Sinha, Madalina Fiterau |
| 2023 | AISTATS | Direct Inference of Effect of Treatment (DIET) for a Cookieless World. | Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau |
| 2023 | MICCAI | Machine Learning for Automated Mitral Regurgitation Detection from Cardiac Imaging. | Ke Xiao, Erik G. Learned-Miller, Evangelos Kalogerakis, James Priest, Madalina Fiterau |
| 2022 | ICML | Constrained Offline Policy Optimization. | Nicholas Polosky, Bruno C. da Silva, Madalina Fiterau, Jithin Jagannath |
| 2021 | ACL | Predicting in-hospital mortality by combining clinical notes with time-series data. | Iman Deznabi, Mohit Iyyer, Madalina Fiterau |
| 2021 | AISTATS | A Change of Variables Method For Rectangular Matrix-Vector Products. | Edmond Cunningham, Madalina Fiterau |
| 2019 | CVPR | Pedestrian Detection in Thermal Images Using Saliency Maps. | Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman |
| 2016 | IJCAI | Deep Neural Decision Forests. | Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bul |
| 2016 | IJCAI | VIPR: An Interactive Tool for Meaningful Visualization of High-Dimensional Data. | Donghan Wang, Madalina Fiterau, Artur Dubrawski |
| 2015 | AAAI | Leveraging Common Structure to Improve Prediction across Related Datasets. | Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski |
| 2015 | AAAI | Active Learning for Informative Projection Retrieval. | Madalina Fiterau, Artur Dubrawski |
| 2015 | AAAI | Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System. | Nick Gisolfi, Madalina Fiterau, Artur Dubrawski |
| 2015 | ICCV | Deep Neural Decision Forests. | Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bul |
| 2013 | ICMLA | Informative Projection Recovery for Classification, Clustering and Regression. | Madalina Fiterau, Artur Dubrawski |
| 2009 | LCN | Performance of handover for multiple users in heterogeneous wireless networks. | Madalina Fiterau, Olga Ormond, Gabriel-Miro Muntean |