Ioana Bica
16 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
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(55)
Conferences
NIPS (9)
ICLR (3)
ICML (3)
AISTATS (1)
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Keywords
causal inference
(8)
treatment effect estimation
(4)
representation learning
(3)
imitation learning
(2)
organ transplantation
(2)
policy learning
(2)
self-supervised learning
(1)
out-of-distribution generalization
(1)
transfer learning
(1)
multitask learning
(1)
energy-based model
(1)
time series
(1)
distribution matching
(1)
resource allocation
(1)
feature importance
(1)
personalized medicine
(1)
recurrent neural network
(1)
autoregressive model
(1)
generative model
(1)
trajectory modeling
(1)
Papers
Improving fine-grained understanding in image-text pre-training
ICML 2024
Neural Algorithmic Reasoning with Causal Regularisation
ICML 2023
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
NIPS 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
NIPS 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
NIPS 2022
Time-series Generation by Contrastive Imitation
NIPS 2021
Learning Matching Representations for Individualized Organ Transplantation Allocation
AISTATS 2021
Clairvoyance: A Pipeline Toolkit for Medical Time Series
ICLR 2021
Learning "What-if" Explanations for Sequential Decision-Making
ICLR 2021
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
NIPS 2021
Invariant Causal Imitation Learning for Generalizable Policies
NIPS 2021
OrganITE: Optimal transplant donor organ offering using an individual treatment effect
NIPS 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
NIPS 2020
Strictly Batch Imitation Learning by Energy-based Distribution Matching
NIPS 2020
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
ICML 2020
Estimating counterfactual treatment outcomes over time through adversarially balanced representations
ICLR 2020