Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes. - Franz J. Király; Zhaozhi Qian (CoRR, 2017)

Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. - Zhaozhi Qian; Ahmed M. Alaa; Alexis Bellot; Mihaela van der Schaar; Jem Rashbass (AISTATS, 2020)

Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. - Alex J. Chan; Ahmed M. Alaa; Zhaozhi Qian; Mihaela van der Schaar (ICML, 2020)

When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes. - Zhaozhi Qian; Ahmed M. Alaa; Mihaela van der Schaar (NeurIPS, 2020)

When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes. - Zhaozhi Qian; Ahmed M. Alaa; Mihaela van der Schaar (CoRR, 2020)

Clairvoyance: A Pipeline Toolkit for Medical Time Series. - Daniel Jarrett; Jinsung Yoon; Ioana Bica; Zhaozhi Qian; Ari Ercole; Mihaela van der Schaar (ICLR, 2021)

Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. - Jeroen Berrevoets; Ahmed M. Alaa; Zhaozhi Qian; James Jordon; Alexander E. S. Gimson; Mihaela van der Schaar (ICML, 2021)

Explaining Latent Representations with a Corpus of Examples. - Jonathan Crabbé; Zhaozhi Qian; Fergus Imrie; Mihaela van der Schaar (NeurIPS, 2021)

Estimating Multi-cause Treatment Effects via Single-cause Perturbation. - Zhaozhi Qian; Alicia Curth; Mihaela van der Schaar (NeurIPS, 2021)

SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes. - Zhaozhi Qian; Yao Zhang; Ioana Bica; Angela M. Wood; Mihaela van der Schaar (NeurIPS, 2021)

Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. - Zhaozhi Qian; William R. Zame; Lucas M. Fleuren; Paul W. G. Elbers; Mihaela van der Schaar (NeurIPS, 2021)

CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. - Zhaozhi Qian; Ahmed M. Alaa; Mihaela van der Schaar (Mach. Learn., 2021)

D-CODE: Discovering Closed-form ODEs from Observed Trajectories. - Zhaozhi Qian; Krzysztof Kacprzyk; Mihaela van der Schaar (ICLR, 2022)

Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. - Samuel Holt; Zhaozhi Qian; Mihaela van der Schaar (ICML, 2022)

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. - Nabeel Seedat; Fergus Imrie; Alexis Bellot; Zhaozhi Qian; Mihaela van der Schaar (ICML, 2022)

D-CIPHER: Discovery of Closed-form PDEs. - Krzysztof Kacprzyk; Zhaozhi Qian; Mihaela van der Schaar (CoRR, 2022)

Navigating causal deep learning. - Jeroen Berrevoets; Krzysztof Kacprzyk; Zhaozhi Qian; Mihaela van der Schaar (CoRR, 2022)

MARS: Assisting Human with Information Processing Tasks Using Machine Learning. - Cong Shen 001; Zhaozhi Qian; Alihan Hüyük; Mihaela van der Schaar (ACM Trans. Comput. Heal., 2022)

Membership Inference Attacks against Synthetic Data through Overfitting Detection. - Boris van Breugel; Hao Sun 017; Zhaozhi Qian; Mihaela van der Schaar (AISTATS, 2023)

Neural Laplace Control for Continuous-time Delayed Systems. - Samuel Holt; Alihan Hüyük; Zhaozhi Qian; Hao Sun 017; Mihaela van der Schaar (AISTATS, 2023)

Deep Generative Symbolic Regression. - Samuel Holt; Zhaozhi Qian; Mihaela van der Schaar (ICLR, 2023)

When to Make and Break Commitments? - Alihan Hüyük; Zhaozhi Qian; Mihaela van der Schaar (ICLR, 2023)

GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. - Tennison Liu; Zhaozhi Qian; Jeroen Berrevoets; Mihaela van der Schaar (ICLR, 2023)

Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data. - Boris van Breugel; Zhaozhi Qian; Mihaela van der Schaar (ICML, 2023)

Learning Representations without Compositional Assumptions. - Tennison Liu; Jeroen Berrevoets; Zhaozhi Qian; Mihaela van der Schaar (ICML, 2023)

D-CIPHER: Discovery of Closed-form Partial Differential Equations. - Krzysztof Kacprzyk; Zhaozhi Qian; Mihaela van der Schaar (NeurIPS, 2023)

Synthcity: a benchmark framework for diverse use cases of tabular synthetic data. - Zhaozhi Qian; Robert Davis; Mihaela van der Schaar (NeurIPS, 2023)

TRIAGE: Characterizing and auditing training data for improved regression. - Nabeel Seedat; Jonathan Crabbé; Zhaozhi Qian; Mihaela van der Schaar (NeurIPS, 2023)

Synthcity: facilitating innovative use cases of synthetic data in different data modalities. - Zhaozhi Qian; Bogdan-Constantin Cebere; Mihaela van der Schaar (CoRR, 2023)

Causal Deep Learning. - Jeroen Berrevoets; Krzysztof Kacprzyk; Zhaozhi Qian; Mihaela van der Schaar (CoRR, 2023)

Do Diffusion Models Suffer Error Propagation? Theoretical Analysis and Consistency Regularization. - Yangming Li; Zhaozhi Qian; Mihaela van der Schaar (CoRR, 2023)

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. - Trent Kyono; Ioana Bica; Zhaozhi Qian; Mihaela van der Schaar (ACM Trans. Comput. Heal., 2023)

DAGnosis: Localized Identification of Data Inconsistencies using Structures. - Nicolas Huynh; Jeroen Berrevoets; Nabeel Seedat; Jonathan Crabbé; Zhaozhi Qian; Mihaela van der Schaar (AISTATS, 2024)

Adaptive Experiment Design with Synthetic Controls. - Alihan Hüyük; Zhaozhi Qian; Mihaela van der Schaar (AISTATS, 2024)

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. - Krzysztof Kacprzyk; Samuel Holt; Jeroen Berrevoets; Zhaozhi Qian; Mihaela van der Schaar (ICLR, 2024)

Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models. - Samuel Holt; Zhaozhi Qian; Tennison Liu; James Weatherall; Mihaela van der Schaar (NeurIPS, 2024)

CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks. - Zhaozhi Qian; Faroq Al-Tam; Muhammad Al-Qurishi; Riad Souissi (CoRR, 2024)

Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. - Jeroen Berrevoets; Krzysztof Kacprzyk; Zhaozhi Qian; Mihaela van der Schaar (Found. Trends Signal Process., 2024)