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Achievements and Challenges Part 2/2
Zhaozhi Qian · Tucker Balch · Sergul Aydore
Progress, achievements, and challenges in synthetic data.
Author Information
Zhaozhi Qian (University of Cambridge)
Tucker Balch (J.P. Morgan AI Research)
Sergul Aydore (AWS AI)
More from the Same Authors
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2021 Spotlight: Explaining Latent Representations with a Corpus of Examples »
Jonathan Crabbe · Zhaozhi Qian · Fergus Imrie · Mihaela van der Schaar -
2021 : Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization »
Yuanlu Bai · Svitlana Vyetrenko · Henry Lam · Tucker Balch -
2022 : D-CIPHER: Discovery of Closed-form Partial Differential Equations »
Krzysztof Kacprzyk · Zhaozhi Qian · Mihaela van der Schaar -
2022 : Conditional Demographic Parity Through Optimal Transport »
Luhao Zhang · Mohsen Ghassemi · Ivan Brugere · Niccolo Dalmasso · Alan Mishler · Vamsi Potluru · Tucker Balch · Manuela Veloso -
2022 : Differentially Private Gradient Boosting on Linear Learners for Tabular Data »
Saeyoung Rho · Shuai Tang · Sergul Aydore · Michael Kearns · Aaron Roth · Yu-Xiang Wang · Steven Wu · Cedric Archambeau -
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 Workshop: Synthetic Data Generation with Generative AI »
Sergul Aydore · Zhaozhi Qian · Mihaela van der Schaar -
2022 Affinity Workshop: Women in Machine Learning - Virtual »
Mariam Arab · Konstantina Palla · Sergul Aydore · Gloria Namanya · Beliz Gunel · Kimia Nadjahi · Soomin Aga Lee -
2022 Workshop: Synthetic Data for Empowering ML Research »
Mihaela van der Schaar · Zhaozhi Qian · Sergul Aydore · Dimitris Vlitas · Dino Oglic · Tucker Balch -
2022 Poster: Private Synthetic Data for Multitask Learning and Marginal Queries »
Giuseppe Vietri · Cedric Archambeau · Sergul Aydore · William Brown · Michael Kearns · Aaron Roth · Ankit Siva · Shuai Tang · Steven Wu -
2022 Affinity Workshop: Women in Machine Learning »
Mariam Arab · Konstantina Palla · Sergul Aydore · Gloria Namanya · Beliz Gunel · Kimia Nadjahi · Soomin Aga Lee -
2021 Poster: Explaining Latent Representations with a Corpus of Examples »
Jonathan Crabbe · Zhaozhi Qian · Fergus Imrie · 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: 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 -
2021 Poster: Adversarial Robustness with Non-uniform Perturbations »
Ecenaz Erdemir · Jeffrey Bickford · Luca Melis · Sergul Aydore -
2020 : When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes »
Zhaozhi Qian -
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: Dynamic Local Regret for Non-convex Online Forecasting »
Sergul Aydore · Tianhao Zhu · Dean Foster