Ioana Bica
Statistics and Probability · 2001–2025
A researcher in the Science corpus: 7 papers; trusts 86 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 96 citations into it; #6,955 of 12,932 by trust here, #5,481 by citations
- Artificial Intelligence — 56 citations into it
- Causal Inference & Discovery — 56 citations into it; #289 of 364 by trust here, #277 by citations
- Probabilistic & Bayesian Methods — 17 citations into it
- Economics and Econometrics — 14 citations into it
- Epidemiology — 10 citations into it
- Medical & Health AI — 9 citations into it
- Management Science and Operations Research — 8 citations into it
Whom Ioana Bica trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James M. Robins
- Donald B. Rubin
- Ahmed M. Alaa
- Mihaela van der Schaar
- Susan Athey
- Miguel A. Hern'an
- Uri Shalit
- Stefan Wager
- Fredrik D. Johansson
- Bryan Lim
Who trusts Ioana Bica overall
Papers from Ioana Bica's perspective
Ordered by how strongly the researchers Ioana Bica trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations (2020) — 241 citations
- Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders (2019) — 138 citations
- Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks (2020) — 128 citations
- From Real‐World Patient Data to Individualized Treatment Effects Using Machine Learning: Current and Future Methods to Address Underlying Challenges (2020) — 219 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- PaliGemma: A versatile 3B VLM for transfer (2024) — 728 citations
- Increasing mortality due to end-stage liver disease in patients with human immunodeficiency virus infection. (2001) — 1,073 citations