Mihaela van der Schaar
~Mihaela_van_der_Schaar2
56
论文总数
28.0
年均投稿
平均评分
接收情况41/56
会议分布
ICLR
31
NeurIPS
13
ICML
12
发表论文 (56 篇)
202534 篇
3
Towards Automated Knowledge Integration From Human-Interpretable Representations
ICLR 2025Spotlight
4
Preference Learning for AI Alignment: a Causal Perspective
ICML 2025Poster
4
Large Language Model Alignment via Inverse Reinforcement Learning from Demonstrations
ICLR 2025Rejected
4
Cascaded Language Models for Cost-Effective Human–AI Decision-Making
NeurIPS 2025Poster
4
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs
ICLR 2025Poster
4
Matchmaker: Schema Matching with self-improving compositional LLM programs
ICLR 2025Rejected
4
Bootstrapping Self-Improvement of Language Model Programs for Zero-Shot Schema Matching
ICML 2025Poster
4
Watchmaker Functions and Meta Specification of Open-Ended Learning Systems
ICLR 2025withdrawn
4
Statistical Hypothesis Testing for Auditing Robustness in Language Models
ICML 2025Poster
3
Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data
ICML 2025Poster
5
AutoCATE: End-to-End, Automated Treatment Effect Estimation
ICLR 2025Rejected
5
Timely Clinical Diagnosis through Active Test Selection
NeurIPS 2025Poster
6
A Study of Posterior Stability for Time-Series Latent Diffusion
ICLR 2025Rejected
3
Unified Screening for Multiple Diseases
ICML 2025Poster
4
Strategic Planning: A Top-Down Approach to Option Generation
ICML 2025Poster
4
Continuously Updating Digital Twins using Large Language Models
ICML 2025Poster
4
Decision Tree Induction Through LLMs via Semantically-Aware Evolution
ICLR 2025Poster
4
AutoCATE: End-to-End, Automated Treatment Effect Estimation
ICML 2025Poster
4
Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples
ICLR 2025Poster
4
Stochastic Encodings for Active Feature Acquisition
ICML 2025Poster
3
Active Task Disambiguation with LLMs
ICLR 2025Spotlight
5
Retrieval Augmented Thought Process for Private Data Handling in Healthcare
ICLR 2025Rejected
4
Autoformulation of Mathematical Optimization Models Using LLMs
ICLR 2025Rejected
4
Going Beyond Static: Understanding Shifts with Time-Series Attribution
ICLR 2025Poster
3
G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
ICML 2025Poster
5
Treatment Effect Estimation for Optimal Decision-Making
NeurIPS 2025Poster
4
LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements
ICLR 2025Rejected
4
Information Bottleneck for Active Feature Acquisition
ICLR 2025Rejected
4
The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data
ICML 2025Spotlight
4
Autoformulation of Mathematical Optimization Models Using LLMs
ICML 2025Poster
4
Enhancing Treatment Effect Estimation with Generation-Driven Data Augmentation
ICLR 2025Rejected
4
LATABLE: TOWARDS LARGE TABULAR MODELS
ICLR 2025Rejected
4
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference
NeurIPS 2025Poster
4
Generation and Evaluation of Synthetic Data Containing Treatments
ICLR 2025Rejected
202422 篇
3
A theoretical design of concept sets: improving the predictability of concept bottleneck models
NeurIPS 2024Poster
4
On Error Propagation of Diffusion Models
ICLR 2024Poster
5
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
NeurIPS 2024Poster
5
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
ICLR 2024Poster
5
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
ICLR 2024Poster
4
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
ICLR 2024Poster
4
Towards Transparent Time Series Forecasting
ICLR 2024Poster
4
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
ICLR 2024Poster
4
Automatically Learning Hybrid Digital Twins of Dynamical Systems
NeurIPS 2024Spotlight
4
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
NeurIPS 2024Poster
3
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes
ICLR 2024Rejected
4
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
NeurIPS 2024Poster
5
Quantile-Free Regression: A Flexible Alternative to Quantile Regression
ICLR 2024Rejected
4
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
NeurIPS 2024Poster
4
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
NeurIPS 2024Poster
4
Rethinking pseudo-labeling: Data-centric insights improve semi-supervised learning
ICLR 2024Rejected
4
Defining Expertise: Applications to Treatment Effect Estimation
ICLR 2024Poster
4
Large Language Models to Enhance Bayesian Optimization
ICLR 2024Poster
5
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models
NeurIPS 2024Poster
5
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
ICLR 2024Spotlight
4
A Neural Framework for Generalized Causal Sensitivity Analysis
ICLR 2024Poster
4
Discovering Preference Optimization Algorithms with and for Large Language Models
NeurIPS 2024Poster