Mihaela van der Schaar
- Papers
- 18
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Authored papers
18Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
arXiv 2026
Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs
arXiv 2025
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
arXiv 2024
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
arXiv 2024
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
arXiv 2024
Defining Expertise: Applications to Treatment Effect Estimation
arXiv 2024
Large Language Models to Enhance Bayesian Optimization
arXiv 2024
Discovering Preference Optimization Algorithms with and for Large Language Models
arXiv 2024
Dense Reward for Free in Reinforcement Learning from Human Feedback
arXiv 2024
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
arXiv 2023
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
arXiv 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
NeurIPS 2023 11
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
arXiv 2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
arXiv 2023
Synthetic data, real errors: how (not) to publish and use synthetic data
arXiv 2023
A Neural Framework for Generalized Causal Sensitivity Analysis
arXiv 2023
Learning Representations without Compositional Assumptions
arXiv 2023
Differentiable and Transportable Structure Learning
arXiv 2022
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