1,326 results on '"Mihaela, van der Schaar"'
Search Results
2. DAGnosis: Localized Identification of Data Inconsistencies using Structures.
3. Adaptive Experiment Design with Synthetic Controls.
4. Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations.
5. Linear Deconfounded Score Method: Scoring DAGs With Dense Unobserved Confounding.
6. Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact.
7. Why Tabular Foundation Models Should Be a Research Priority.
8. A Study of Posterior Stability for Time-Series Latent Diffusion.
9. Inverse-RLignment: Inverse Reinforcement Learning from Demonstrations for LLM Alignment.
10. Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI.
11. ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference.
12. Defining Expertise: Applications to Treatment Effect Estimation.
13. Risk-Sensitive Diffusion: Learning the Underlying Distribution from Noisy Samples.
14. Large Language Models to Enhance Bayesian Optimization.
15. Dense Reward for Free in Reinforcement Learning from Human Feedback.
16. Time Series Diffusion in the Frequency Domain.
17. Deep Generative Symbolic Regression.
18. Informed Meta-Learning.
19. Retrieval-Augmented Thought Process as Sequential Decision Making.
20. Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers.
21. T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression.
22. Neural Laplace Control for Continuous-time Delayed Systems.
23. To Impute or not to Impute? Missing Data in Treatment Effect Estimation.
24. SurvivalGAN: Generating Time-to-Event Data for Survival Analysis.
25. Improving Adaptive Conformal Prediction Using Self-Supervised Learning.
26. Membership Inference Attacks against Synthetic Data through Overfitting Detection.
27. Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data.
28. Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data.
29. Differentiable and Transportable Structure Learning.
30. Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time.
31. Learning Representations without Compositional Assumptions.
32. Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions.
33. In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation.
34. Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.
35. Data-Driven Online Recommender Systems With Costly Information Acquisition.
36. Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge.
37. Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare.
38. Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values.
39. U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging.
40. Matters Arising: PREDICT underestimates survival of patients with HER2-positive early-stage breast cancer
41. GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure.
42. TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization.
43. Deep Generative Symbolic Regression.
44. When to Make and Break Commitments?
45. Active Observing in Continuous-time Control.
46. Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance.
47. Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure.
48. What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization.
49. D-CIPHER: Discovery of Closed-form Partial Differential Equations.
50. Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data.
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