More from the Same Authors

• 2021 Spotlight: On Inductive Biases for Heterogeneous Treatment Effect Estimation »
  Alicia Curth · Mihaela van der Schaar
• 2021 Spotlight: Explaining Latent Representations with a Corpus of Examples »
  Jonathan Crabbe · Zhaozhi Qian · Fergus Imrie · Mihaela van der Schaar
• 2021 : Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation »
  Alicia Curth · David Svensson · Jim Weatherall · Mihaela van der Schaar
• 2021 : The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation »
  Alex Chan · Ioana Bica · Alihan Hüyük · Daniel Jarrett · Mihaela van der Schaar
• 2022 : Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials »
  Alicia Curth · Alihan Hüyük · Mihaela van der Schaar
• 2022 : D-CIPHER: Discovery of Closed-form Partial Differential Equations »
  Krzysztof Kacprzyk · Zhaozhi Qian · Mihaela van der Schaar
• 2023 Poster: Can you rely on your model evaluation? Improving model evaluation with synthetic test data »
  Nabeel Seedat · Boris van Breugel · Fergus Imrie · Mihaela van der Schaar
• 2023 Poster: Active Observing in Continuous-time Control »
  Samuel Holt · Alihan Hüyük · Mihaela van der Schaar
• 2023 Poster: Accountable Batched Control with Decision Corpus »
  Hao Sun · Alihan Hüyük · Daniel Jarrett · Mihaela van der Schaar
• 2023 Poster: D-CIPHER: Discovery of Closed-form Partial Differential Equations »
  Krzysztof Kacprzyk · Zhaozhi Qian · Mihaela van der Schaar
• 2023 Poster: TRIAGE: Characterizing and auditing training data for improved regression »
  Nabeel Seedat · Jonathan Crabbé · Zhaozhi Qian · Mihaela van der Schaar
• 2023 Poster: Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure »
  Yuchao Qin · Mihaela van der Schaar · Changhee Lee
• 2023 Poster: Joint Training of Deep Ensembles Fails Due to Learner Collusion »
  Alan Jeffares · Tennison Liu · Jonathan Crabbé · Mihaela van der Schaar
• 2023 Poster: A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning »
  Alicia Curth · Alan Jeffares · Mihaela van der Schaar
• 2023 Poster: Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance »
  Jonathan Crabbé · Mihaela van der Schaar
• 2023 Poster: AllSim: Systematic Simulation and Benchmarking of Repeated Resource Allocation Policies in Multi-User Systems with Varying Resources »
  Jeroen Berrevoets · Daniel Jarrett · Alex Chan · Mihaela van der Schaar
• 2023 Poster: Synthcity: a benchmark framework for diverse use cases of tabular synthetic data »
  Zhaozhi Qian · Rob Davis · Mihaela van der Schaar
• 2023 Poster: Reimagining Synthetic Data Generation through Data-Centric AI: A Comprehensive Benchmark »
  Lasse Hansen · Nabeel Seedat · Mihaela van der Schaar · Andrija Petrovic
• 2023 Oral: A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning »
  Alicia Curth · Alan Jeffares · Mihaela van der Schaar
• 2023 Tutorial: Data-Centric AI for reliable and responsible AI: from theory to practice »
  Isabelle Guyon · · Mihaela van der Schaar
• 2023 Workshop: Synthetic Data Generation with Generative AI »
  Sergul Aydore · Zhaozhi Qian · Mihaela van der Schaar
• 2022 : Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes »
  Tennison Liu · Alex Chan · Boris van Breugel · Mihaela van der Schaar
• 2022 : Closing Remarks »
  Cheng Zhang · Mihaela van der Schaar
• 2022 : Panel Discussion »
  Cheng Zhang · Mihaela van der Schaar · Ilya Shpitser · Aapo Hyvarinen · Yoshua Bengio · Bernhard Schölkopf
• 2022 Workshop: Causal Machine Learning for Real-World Impact »
  Nick Pawlowski · Jeroen Berrevoets · Caroline Uhler · Kun Zhang · Mihaela van der Schaar · Cheng Zhang
• 2022 : Opening Remarks »
  Cheng Zhang · Mihaela van der Schaar
• 2022 Workshop: Synthetic Data for Empowering ML Research »
  Mihaela van der Schaar · Zhaozhi Qian · Sergul Aydore · Dimitris Vlitas · Dino Oglic · Tucker Balch
• 2022 Poster: Concept Activation Regions: A Generalized Framework For Concept-Based Explanations »
  Jonathan Crabbé · Mihaela van der Schaar
• 2022 Poster: Online Decision Mediation »
  Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
• 2022 Poster: Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability »
  Jonathan Crabbé · Alicia Curth · Ioana Bica · Mihaela van der Schaar
• 2022 Poster: Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation »
  Ioana Bica · Mihaela van der Schaar
• 2022 Poster: Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data »
  Nabeel Seedat · Jonathan Crabbé · Ioana Bica · Mihaela van der Schaar
• 2022 Poster: Composite Feature Selection Using Deep Ensembles »
  Fergus Imrie · Alexander Norcliffe · Pietro Lió · Mihaela van der Schaar
• 2022 Poster: Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning »
  Alex Chan · Mihaela van der Schaar
• 2021 : Invited talk #5: Mihaela van der Schaar »
  Mihaela van der Schaar
• 2021 : Mihaela Van Der Schaar Q&A »
  Mihaela van der Schaar
• 2021 : Mihaela Van Der Schaar »
  Mihaela van der Schaar
• 2021 Poster: Invariant Causal Imitation Learning for Generalizable Policies »
  Ioana Bica · Daniel Jarrett · Mihaela van der Schaar
• 2021 Poster: Explaining Latent Representations with a Corpus of Examples »
  Jonathan Crabbe · Zhaozhi Qian · Fergus Imrie · Mihaela van der Schaar
• 2021 Poster: Time-series Generation by Contrastive Imitation »
  Daniel Jarrett · Ioana Bica · Mihaela van der Schaar
• 2021 Poster: Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation »
  Yuchao Qin · Fergus Imrie · Alihan Hüyük · Daniel Jarrett · alexander gimson · Mihaela van der Schaar
• 2021 Poster: DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks »
  Boris van Breugel · Trent Kyono · Jeroen Berrevoets · Mihaela van der Schaar
• 2021 Poster: MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms »
  Trent Kyono · Yao Zhang · Alexis Bellot · Mihaela van der Schaar
• 2021 Poster: Conformal Time-series Forecasting »
  Kamile Stankeviciute · Ahmed Alaa · Mihaela van der Schaar
• 2021 Poster: Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression »
  Zhaozhi Qian · William Zame · Lucas Fleuren · Paul Elbers · Mihaela van der Schaar
• 2021 Poster: SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data »
  Alicia Curth · Changhee Lee · Mihaela van der Schaar
• 2021 Poster: On Inductive Biases for Heterogeneous Treatment Effect Estimation »
  Alicia Curth · Mihaela van der Schaar
• 2021 Poster: SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes »
  Zhaozhi Qian · Yao Zhang · Ioana Bica · Angela Wood · Mihaela van der Schaar
• 2021 Poster: Estimating Multi-cause Treatment Effects via Single-cause Perturbation »
  Zhaozhi Qian · Alicia Curth · Mihaela van der Schaar
• 2020 Poster: Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification »
  Hyun-Suk Lee · Yao Zhang · William Zame · Cong Shen · Jang-Won Lee · Mihaela van der Schaar
• 2020 Poster: Learning outside the Black-Box: The pursuit of interpretable models »
  Jonathan Crabbe · Yao Zhang · William Zame · Mihaela van der Schaar
• 2020 Poster: Strictly Batch Imitation Learning by Energy-based Distribution Matching »
  Daniel Jarrett · Ioana Bica · Mihaela van der Schaar
• 2020 Poster: Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks »
  Ioana Bica · James Jordon · Mihaela van der Schaar
• 2020 Poster: Gradient Regularized V-Learning for Dynamic Treatment Regimes »
  Yao Zhang · Mihaela van der Schaar
• 2020 Poster: OrganITE: Optimal transplant donor organ offering using an individual treatment effect »
  Jeroen Berrevoets · James Jordon · Ioana Bica · alexander gimson · Mihaela van der Schaar
• 2020 : Q&A for invited speaker, Mihaela van der Schaar »
  Mihaela van der Schaar
• 2020 : Interpretable AutoML: Powering the machine learning revolution in healthcare in the era of Covid-19 and beyond »
  Mihaela van der Schaar
• 2020 Poster: CASTLE: Regularization via Auxiliary Causal Graph Discovery »
  Trent Kyono · Yao Zhang · Mihaela van der Schaar
• 2020 Poster: VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain »
  Jinsung Yoon · Yao Zhang · James Jordon · Mihaela van der Schaar
• 2020 Poster: When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes »
  Zhaozhi Qian · Ahmed Alaa · Mihaela van der Schaar
• 2020 Oral: When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes »
  Zhaozhi Qian · Ahmed Alaa · Mihaela van der Schaar
• 2019 Poster: Attentive State-Space Modeling of Disease Progression »
  Ahmed Alaa · Mihaela van der Schaar
• 2019 Poster: Demystifying Black-box Models with Symbolic Metamodels »
  Ahmed Alaa · Mihaela van der Schaar
• 2019 Poster: Time-series Generative Adversarial Networks »
  Jinsung Yoon · Daniel Jarrett · Mihaela van der Schaar
• 2019 Poster: Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate »
  James Jordon · Jinsung Yoon · Mihaela van der Schaar
• 2019 Poster: Conditional Independence Testing using Generative Adversarial Networks »
  Alexis Bellot · Mihaela van der Schaar
• 2019 Spotlight: Conditional Independence Testing using Generative Adversarial Networks »
  Alexis Bellot · Mihaela van der Schaar
• 2018 Poster: Multitask Boosting for Survival Analysis with Competing Risks »
  Alexis Bellot · Mihaela van der Schaar
• 2018 Poster: Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks »
  Bryan Lim · Ahmed Alaa · Mihaela van der Schaar
• 2017 : Coffee break and Poster Session II »
  Mohamed Kane · Albert Haque · Vagelis Papalexakis · John Guibas · Peter Li · Carlos Arias · Eric Nalisnick · Padhraic Smyth · Frank Rudzicz · Xia Zhu · Theodore Willke · Noemie Elhadad · Hans Raffauf · Harini Suresh · Paroma Varma · Yisong Yue · Ognjen (Oggi) Rudovic · Luca Foschini · Syed Rameel Ahmad · Hasham ul Haq · Valerio Maggio · Giuseppe Jurman · Sonali Parbhoo · Pouya Bashivan · Jyoti Islam · Mirco Musolesi · Chris Wu · Alexander Ratner · Jared Dunnmon · Cristóbal Esteban · Aram Galstyan · Greg Ver Steeg · Hrant Khachatrian · Marc Górriz · Mihaela van der Schaar · Anton Nemchenko · Manasi Patwardhan · Tanay Tandon
• 2017 Poster: DPSCREEN: Dynamic Personalized Screening »
  Kartik Ahuja · William Zame · Mihaela van der Schaar
• 2017 Poster: Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks »
  Ahmed Alaa · Mihaela van der Schaar
• 2017 Spotlight: Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks »
  Ahmed Alaa · Mihaela van der Schaar
• 2017 Poster: Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes »
  Ahmed Alaa · Mihaela van der Schaar
• 2016 Poster: Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition »
  Ahmed Alaa · Mihaela van der Schaar
• 2016 Poster: A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics »
  William Hoiles · Mihaela van der Schaar
• 2014 Poster: Discovering, Learning and Exploiting Relevance »
  Cem Tekin · Mihaela van der Schaar