Fiterau, Madalina

20 publications

UAI 2025 Experimentation Under Treatment Dependent Network Interference Shiv Shankar, Ritwik Sinha, Madalina Fiterau

AISTATS 2024 A/B Testing Under Interference with Partial Network Information Shiv Shankar, Ritwik Sinha, Yash Chandak, Saayan Mitra, Madalina Fiterau

NeurIPSW 2024 On LLM Augmented AB Experimentation Shiv Shankar, Ritwik Sinha, Madalina Fiterau

ICML 2024 On Online Experimentation Without Device Identifiers Shiv Shankar, Ritwik Sinha, Madalina Fiterau

ICLRW 2024 Online Experimentation Under Privacy Induced Identity Fragmentation Shiv Shankar, Ritwik Sinha, Madalina Fiterau

NeurIPSW 2024 Towards Resolution-Aware Retrieval Augmented Zero-Shot Forecasting Iman Deznabi, Peeyush Kumar, Madalina Fiterau

AISTATS 2023 Direct Inference of Effect of Treatment (DIET) for a Cookieless World Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau

CHIL 2023 MultiWave: Multiresolution Deep Architectures Through Wavelet Decomposition for Multivariate Time Series Prediction Iman Deznabi, Madalina Fiterau

ICML 2022 Constrained Offline Policy Optimization Nicholas Polosky, Bruno C. Da Silva, Madalina Fiterau, Jithin Jagannath

AISTATS 2021 A Change of Variables Method for Rectangular Matrix-Vector Products Edmond Cunningham, Madalina Fiterau

MLHC 2019 FLARe: Forecasting by Learning Anticipated Representations Surya Teja Devarakonda, Joie Yeahuay Wu, Yi Ren Fung, Madalina Fiterau

CVPRW 2019 Pedestrian Detection in Thermal Images Using Saliency Maps Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman

MLHC 2017 ShortFuse: Biomedical Time Series Representations in the Presence of Structured Information Madalina Fiterau, Suvrat Bhooshan, Jason Fries, Charles Bournhonesque, Jennifer Hicks, Eni Halilaj, Christopher Re, Scott Delp

IJCAI 2016 Deep Neural Decision Forests Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulò

IJCAI 2016 VIPR: An Interactive Tool for Meaningful Visualization of High-Dimensional Data Donghan Wang, Madalina Fiterau, Artur Dubrawski

AAAI 2015 Active Learning for Informative Projection Retrieval Madalina Fiterau, Artur Dubrawski

ICCV 2015 Deep Neural Decision Forests Peter Kontschieder, Madalina Fiterau, Antonio Criminisi, Samuel Rota Bulo

AAAI 2015 Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System Nick Gisolfi, Madalina Fiterau, Artur Dubrawski

AAAI 2015 Leveraging Common Structure to Improve Prediction Across Related Datasets Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski

NeurIPS 2012 Projection Retrieval for Classification Madalina Fiterau, Artur Dubrawski