Ioana Bica
16 papers · 2020–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (29) π Triple Crown
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Triple Crown
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(5)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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(72)
Venues
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Research topics
Machine Learning
(15)
Artificial Intelligence
(9)
Core AI
(9)
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(8)
Core Methods
(7)
Application Areas
(5)
Data Science & Analytics
(3)
Deep Learning
(3)
Reinforcement Learning
(2)
Methods Β· Reinforcement Learning
(2)
Methods Β· Data Science & Analytics
(2)
Healthcare & Medicine
(1)
Knowledge & Reasoning
(1)
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(1)
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(1)
Keywords
causal inference
(9)
treatment effect estimation
(6)
representation learning
(3)
imitation learning
(2)
policy learning
(2)
organ transplantation
(2)
counterfactual reasoning
(2)
feature importance
(1)
trajectory modeling
(1)
domain generalization
(1)
self-supervised learning
(1)
sequential decision making
(1)
off-policy evaluation
(1)
time series generation
(1)
time series
(1)
domain adaptation
(1)
inverse reinforcement learning
(1)
distribution matching
(1)
resource allocation
(1)
out-of-distribution generalization
(1)
Papers
Improving fine-grained understanding in image-text pre-training
ICML 2024
Neural Algorithmic Reasoning with Causal Regularisation
ICML 2023
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
NeurIPS 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
NeurIPS 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
NeurIPS 2022
Clairvoyance: A Pipeline Toolkit for Medical Time Series
ICLR 2021
Invariant Causal Imitation Learning for Generalizable Policies
NeurIPS 2021
Learning Matching Representations for Individualized Organ Transplantation Allocation
AISTATS 2021
Learning "What-if" Explanations for Sequential Decision-Making
ICLR 2021
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
NeurIPS 2021
Time-series Generation by Contrastive Imitation
NeurIPS 2021
Estimating counterfactual treatment outcomes over time through adversarially balanced representations
ICLR 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
NeurIPS 2020
OrganITE: Optimal transplant donor organ offering using an individual treatment effect
NeurIPS 2020
Strictly Batch Imitation Learning by Energy-based Distribution Matching
NeurIPS 2020
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
ICML 2020