Chiappa, Silvia

21 publications

ICML 2025 FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa

NeurIPS 2024 Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa

CLeaR 2024 Pragmatic Fairness: Developing Policies with Outcome Disparity Control Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva

NeurIPS 2024 Towards Estimating Bounds on the Effect of Policies Under Unobserved Confounding Alexis Bellot, Silvia Chiappa

ICML 2023 Additive Causal Bandits with Unknown Graph Alan Malek, Virginia Aglietti, Silvia Chiappa

ICML 2023 Constrained Causal Bayesian Optimization Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa

UAI 2023 Functional Causal Bayesian Optimization Limor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia Chiappa

ICLR 2023 Learning to Induce Causal Structure Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Theophane Weber, Matthew Botvinick, Michael Curtis Mozer, Danilo Jimenez Rezende

NeurIPS 2023 Transportability for Bandits with Data from Different Environments Alexis Bellot, Alan Malek, Silvia Chiappa

NeurIPS 2022 Diagnosing Failures of Fairness Transfer Across Distribution Shift in Real-World Medical Settings Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour

ICMLW 2022 Learning to Induce Causal Structure Nan Rosemary Ke, Silvia Chiappa, Jane X Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Matthew Botvinick, Theophane Weber, Michael Curtis Mozer, Danilo Jimenez Rezende

AAAI 2022 Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt

NeurIPS 2021 Asymptotically Best Causal Effect Identification with Multi-Armed Bandits Alan Malek, Silvia Chiappa

AAAI 2020 A General Approach to Fairness with Optimal Transport Silvia Chiappa, Ray Jiang, Tom Stepleton, Aldo Pacchiano, Heinrich Jiang, John Aslanides

AAAI 2019 Path-Specific Counterfactual Fairness Silvia Chiappa

UAI 2019 Wasserstein Fair Classification Ray Jiang, Aldo Pacchiano, Tom Stepleton, Heinrich Jiang, Silvia Chiappa

ICLR 2017 Recurrent Environment Simulators Silvia Chiappa, Sébastien Racanière, Daan Wierstra, Shakir Mohamed

FnTML 2014 Explicit-Duration Markov Switching Models Silvia Chiappa

NeurIPS 2010 Movement Extraction by Detecting Dynamics Switches and Repetitions Silvia Chiappa, Jan R. Peters

NeurIPS 2008 Using Bayesian Dynamical Systems for Motion Template Libraries Silvia Chiappa, Jens Kober, Jan R. Peters

NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models David Barber, Silvia Chiappa