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Ioana Bica
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 40
Top Topics
Inverse Reinforcement Learning
Domain Adaptation
Causal Knowledge
Chronic Hepatitis
Top Venues
CoRR
NeurIPS
ICLR
ICML
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Publications
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Ioana Bica
,
Anastasija Ilic
,
Matthias Bauer
,
Goker Erdogan
,
Matko Bosnjak
,
Christos Kaplanis
,
Alexey A. Gritsenko
,
Matthias Minderer
,
Charles Blundell
,
Razvan Pascanu
,
Jovana Mitrovic
Improving fine-grained understanding in image-text pre-training.
CoRR
(2024)
Ioana Bica
,
Daniel Jarrett
,
Mihaela van der Schaar
Invariant Causal Imitation Learning for Generalizable Policies.
CoRR
(2023)
Daniel Jarrett
,
Ioana Bica
,
Mihaela van der Schaar
Time-series Generation by Contrastive Imitation.
CoRR
(2023)
Trent Kyono
,
Ioana Bica
,
Zhaozhi Qian
,
Mihaela van der Schaar
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge.
ACM Trans. Comput. Heal.
4 (2) (2023)
Daniel Jarrett
,
Jinsung Yoon
,
Ioana Bica
,
Zhaozhi Qian
,
Ari Ercole
,
Mihaela van der Schaar
Clairvoyance: A Pipeline Toolkit for Medical Time Series.
CoRR
(2023)
Beatrice Bevilacqua
,
Kyriacos Nikiforou
,
Borja Ibarz
,
Ioana Bica
,
Michela Paganini
,
Charles Blundell
,
Jovana Mitrovic
,
Petar Velickovic
Neural Algorithmic Reasoning with Causal Regularisation.
ICML
(2023)
Beatrice Bevilacqua
,
Kyriacos Nikiforou
,
Borja Ibarz
,
Ioana Bica
,
Michela Paganini
,
Charles Blundell
,
Jovana Mitrovic
,
Petar Velickovic
Neural Algorithmic Reasoning with Causal Regularisation.
CoRR
(2023)
Nenad Tomasev
,
Ioana Bica
,
Brian McWilliams
,
Lars Buesing
,
Razvan Pascanu
,
Charles Blundell
,
Jovana Mitrovic
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
CoRR
(2022)
Jonathan Crabbé
,
Alicia Curth
,
Ioana Bica
,
Mihaela van der Schaar
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability.
NeurIPS
(2022)
Ioana Bica
,
Mihaela van der Schaar
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation.
NeurIPS
(2022)
Nabeel Seedat
,
Jonathan Crabbé
,
Ioana Bica
,
Mihaela van der Schaar
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data.
NeurIPS
(2022)
Ioana Bica
,
Mihaela van der Schaar
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation.
CoRR
(2022)
David Buterez
,
Ioana Bica
,
Ifrah Tariq
,
Helena Andrés-Terré
,
Pietro Liò
CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks.
Bioinform.
38 (5) (2022)
Yanke Li
,
Tobias Hatt
,
Ioana Bica
,
Mihaela van der Schaar
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction.
CoRR
(2022)
Jonathan Crabbé
,
Alicia Curth
,
Ioana Bica
,
Mihaela van der Schaar
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability.
CoRR
(2022)
Nabeel Seedat
,
Jonathan Crabbé
,
Ioana Bica
,
Mihaela van der Schaar
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data.
CoRR
(2022)
Jeroen Berrevoets
,
Alicia Curth
,
Ioana Bica
,
Eoin F. McKinney
,
Mihaela van der Schaar
Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time.
CoRR
(2021)
Trent Kyono
,
Ioana Bica
,
Zhaozhi Qian
,
Mihaela van der Schaar
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge.
CoRR
(2021)
Can Xu
,
Ahmed M. Alaa
,
Ioana Bica
,
Brent D. Ershoff
,
Maxime Cannesson
,
Mihaela van der Schaar
Learning Matching Representations for Individualized Organ Transplantation Allocation.
CoRR
(2021)
Victor D. Bourgin
,
Ioana Bica
,
Mihaela van der Schaar
Model-Attentive Ensemble Learning for Sequence Modeling.
CoRR
(2021)
Daniel Jarrett
,
Jinsung Yoon
,
Ioana Bica
,
Zhaozhi Qian
,
Ari Ercole
,
Mihaela van der Schaar
Clairvoyance: A Pipeline Toolkit for Medical Time Series.
ICLR
(2021)
Daniel Jarrett
,
Ioana Bica
,
Mihaela van der Schaar
Time-series Generation by Contrastive Imitation.
NeurIPS
(2021)
Zhaozhi Qian
,
Yao Zhang
,
Ioana Bica
,
Angela M. Wood
,
Mihaela van der Schaar
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes.
NeurIPS
(2021)
Can Xu
,
Ahmed M. Alaa
,
Ioana Bica
,
Brent D. Ershoff
,
Maxime Cannesson
,
Mihaela van der Schaar
Learning Matching Representations for Individualized Organ Transplantation Allocation.
AISTATS
(2021)
Alex J. Chan
,
Ioana Bica
,
Alihan Hüyük
,
Daniel Jarrett
,
Mihaela van der Schaar
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation.
NeurIPS Datasets and Benchmarks
(2021)
Ioana Bica
,
Daniel Jarrett
,
Alihan Hüyük
,
Mihaela van der Schaar
Learning "What-if" Explanations for Sequential Decision-Making.
ICLR
(2021)
Ioana Bica
,
Daniel Jarrett
,
Mihaela van der Schaar
Invariant Causal Imitation Learning for Generalizable Policies.
NeurIPS
(2021)
Alex J. Chan
,
Ioana Bica
,
Alihan Hüyük
,
Daniel Jarrett
,
Mihaela van der Schaar
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation.
CoRR
(2021)
Ioana Bica
,
James Jordon
,
Mihaela van der Schaar
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks.
NeurIPS
(2020)
Ioana Bica
,
Daniel Jarrett
,
Alihan Hüyük
,
Mihaela van der Schaar
Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making.
CoRR
(2020)
Suproteem K. Sarkar
,
Subhrajit Roy
,
Emily Alsentzer
,
Matthew B. A. McDermott
,
Fabian Falck
,
Ioana Bica
,
Griffin Adams
,
Stephen Pfohl
,
Stephanie L. Hyland
Machine Learning for Health (ML4H) 2020: Advancing Healthcare for All.
ML4H@NeurIPS
(2020)
Ioana Bica
,
Ahmed M. Alaa
,
James Jordon
,
Mihaela van der Schaar
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations.
CoRR
(2020)
Jeroen Berrevoets
,
James Jordon
,
Ioana Bica
,
Alexander Gimson
,
Mihaela van der Schaar
OrganITE: Optimal transplant donor organ offering using an individual treatment effect.
NeurIPS
(2020)
Daniel Jarrett
,
Ioana Bica
,
Mihaela van der Schaar
Strictly Batch Imitation Learning by Energy-based Distribution Matching.
NeurIPS
(2020)
Ioana Bica
,
Ahmed M. Alaa
,
James Jordon
,
Mihaela van der Schaar
Estimating counterfactual treatment outcomes over time through adversarially balanced representations.
ICLR
(2020)
Ioana Bica
,
James Jordon
,
Mihaela van der Schaar
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks.
CoRR
(2020)
Ioana Bica
,
Ahmed M. Alaa
,
Mihaela van der Schaar
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders.
ICML
(2020)
Daniel Jarrett
,
Ioana Bica
,
Mihaela van der Schaar
Strictly Batch Imitation Learning by Energy-based Distribution Matching.
CoRR
(2020)
Ioana Bica
,
Ahmed M. Alaa
,
Mihaela van der Schaar
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders.
CoRR
(2019)
Ioana Bica
,
Petar Velickovic
,
Hui Xiao
Multi-omics data integration using cross-modal neural networks.
ESANN
(2018)