Bica, Ioana

19 publications

ICML 2024 Improving Fine-Grained Understanding in Image-Text Pre-Training Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bošnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic

ICML 2023 Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković

NeurIPS 2022 Benchmarking Heterogeneous Treatment Effect Models Through the Lens of Interpretability Jonathan Crabbé, Alicia Curth, Ioana Bica, Mihaela van der Schaar

NeurIPS 2022 Data-IQ: Characterizing Subgroups with Heterogeneous Outcomes in Tabular Data Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar

NeurIPSW 2022 Dynamic Outcomes-Based Clustering of Disease Trajectory in Mechanically Ventilated Patients Emma Charlotte Rocheteau, Ioana Bica, Pietro Lio, Ari Ercole

ICMLW 2022 Pushing the Limits of Self-Supervised ResNets: Can We Outperform Supervised Learning Without Labels on ImageNet? Nenad Tomasev, Ioana Bica, Brian McWilliams, Lars Holger Buesing, Razvan Pascanu, Charles Blundell, Jovana Mitrovic

NeurIPS 2022 Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation Ioana Bica, Mihaela van der Schaar

AISTATS 2021 Learning Matching Representations for Individualized Organ Transplantation Allocation Can Xu, Ahmed Alaa, Ioana Bica, Brent Ershoff, Maxime Cannesson, Mihaela Schaar

ICLR 2021 Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar

NeurIPS 2021 Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica, Daniel Jarrett, Mihaela van der Schaar

ICLR 2021 Learning "What-If" Explanations for Sequential Decision-Making Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

NeurIPS 2021 SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela Wood, Mihaela van der Schaar

NeurIPS 2021 Time-Series Generation by Contrastive Imitation Daniel Jarrett, Ioana Bica, Mihaela van der Schaar

ICLR 2020 Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar

NeurIPS 2020 Estimating the Effects of Continuous-Valued Interventions Using Generative Adversarial Networks Ioana Bica, James Jordon, Mihaela van der Schaar

ICLR 2020 Individualised Dose-Response Estimation Using Generative Adversarial Nets Ioana Bica, James Jordon, Mihaela van der Schaar

NeurIPS 2020 OrganITE: Optimal Transplant Donor Organ Offering Using an Individual Treatment Effect Jeroen Berrevoets, James Jordon, Ioana Bica, Alexander Gimson, Mihaela van der Schaar

NeurIPS 2020 Strictly Batch Imitation Learning by Energy-Based Distribution Matching Daniel Jarrett, Ioana Bica, Mihaela van der Schaar

ICML 2020 Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders Ioana Bica, Ahmed Alaa, Mihaela Van Der Schaar