Zhaozhi Qian

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 54

Top Topics

Differential Equations

Domain Adaptation

Unlabelled Data

Top Venues

Publications

Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
Adaptive Experiment Design with Synthetic Controls. CoRR (2024)
Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
Adaptive Experiment Design with Synthetic Controls. AISTATS (2024)
Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. Found. Trends Signal Process. 18 (3) (2024)
Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
Deep Generative Symbolic Regression. CoRR (2024)
Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. ICLR (2024)
Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
DAGnosis: Localized Identification of Data Inconsistencies using Structures. AISTATS (2024)
Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. CoRR (2024)
Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
DAGnosis: Localized Identification of Data Inconsistencies using Structures. CoRR (2024)
Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
Learning Representations without Compositional Assumptions. ICML (2023)
Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. ICLR (2023)
Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
TRIAGE: Characterizing and auditing training data for improved regression. NeurIPS (2023)
Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
Neural Laplace Control for Continuous-time Delayed Systems. CoRR (2023)
Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar
Membership Inference Attacks against Synthetic Data through Overfitting Detection. CoRR (2023)
Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. ACM Trans. Comput. Heal. 4 (2) (2023)
Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
Clairvoyance: A Pipeline Toolkit for Medical Time Series. CoRR (2023)
Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
Deep Generative Symbolic Regression. ICLR (2023)
Yangming Li, Zhaozhi Qian, Mihaela van der Schaar
Do Diffusion Models Suffer Error Propagation? Theoretical Analysis and Consistency Regularization. CoRR (2023)
Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar
Membership Inference Attacks against Synthetic Data through Overfitting Detection. AISTATS (2023)
Zhaozhi Qian, Robert Davis, Mihaela van der Schaar
Synthcity: a benchmark framework for diverse use cases of tabular synthetic data. NeurIPS (2023)
Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
Neural Laplace Control for Continuous-time Delayed Systems. AISTATS (2023)
Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
When to Make and Break Commitments? ICLR (2023)
Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar
Synthetic data, real errors: how (not) to publish and use synthetic data. CoRR (2023)
Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
Causal Deep Learning. CoRR (2023)
Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data. ICML (2023)
Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
Learning Representations without Compositional Assumptions. CoRR (2023)
Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
TRIAGE: Characterizing and auditing training data for improved regression. CoRR (2023)
Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
D-CIPHER: Discovery of Closed-form Partial Differential Equations. NeurIPS (2023)
Zhaozhi Qian, Bogdan-Constantin Cebere, Mihaela van der Schaar
Synthcity: facilitating innovative use cases of synthetic data in different data modalities. CoRR (2023)
Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar
D-CODE: Discovering Closed-form ODEs from Observed Trajectories. ICLR (2022)
Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. ICML (2022)
Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
D-CIPHER: Discovery of Closed-form PDEs. CoRR (2022)
Cong Shen, Zhaozhi Qian, Alihan Hüyük, Mihaela van der Schaar
MARS: Assisting Human with Information Processing Tasks Using Machine Learning. ACM Trans. Comput. Heal. 3 (2) (2022)
Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. CoRR (2022)
Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. CoRR (2022)
Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
Navigating causal deep learning. CoRR (2022)
Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. ICML (2022)
Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. NeurIPS (2021)
Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar
Explaining Latent Representations with a Corpus of Examples. NeurIPS (2021)
Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. ICML (2021)
Zhaozhi Qian, Alicia Curth, Mihaela van der Schaar
Estimating Multi-cause Treatment Effects via Single-cause Perturbation. NeurIPS (2021)
Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. CoRR (2021)
Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
Clairvoyance: A Pipeline Toolkit for Medical Time Series. ICLR (2021)
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. Mach. Learn. 110 (1) (2021)
Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela M. Wood, Mihaela van der Schaar
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes. NeurIPS (2021)
Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar
Explaining Latent Representations with a Corpus of Examples. CoRR (2021)
Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. CoRR (2021)
Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Mihaela van der Schaar, Jem Rashbass
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. AISTATS (2020)
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes. CoRR (2020)
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes. NeurIPS (2020)
Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. CoRR (2020)
Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19. CoRR (2020)
Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Jem Rashbass, Mihaela van der Schaar
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. CoRR (2020)
Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. ICML (2020)
Franz J. Király, Zhaozhi Qian
Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes. CoRR (2017)