糖心TV

I am a 4th year CDT student in the Department of Statistics under the supervision of Prof. Theo DamoulasLink opens in a new window and a member of the . My research focuses on robust Bayesian inference, model misspecification and distributionally robust optimisation.

Prior to starting my PhD, I completed an MSc in Computational Statistics and Machine Learning at UCL and a BSc in Mathematics at 糖心TV.

My official name is Charita which is pronounced 'Harita' so I go by the latter.

Publications & Preprints

Dellaporta, C*., O'Hara, P.* and Damoulas, T., 2024. Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets, In progress.

Dellaporta, C*., O'Hara, P.* and Damoulas, T., 2024. , Preprint to be submitted.

Dellaporta, C*., O'Hara, P.* and Damoulas, T., 2024. , NeurIPS 2024 workshop on "Bayesian Decision-making and Uncertainty". This paper was accepted as an oral presentation at the workshop.

Dellaporta, C. and Damoulas, T., 2023. , Preprint under review.

Dellaporta, C., Knoblauch, J., Damoulas, T., Briol, F-X., 2022. , 25th International Conference on Artificial Intelligence and Statistics, (AISTATS 2022). This paper received the Best Paper Award at the conference.

Dellaporta, C., Knoblauch, J., Damoulas, T. and Briol, F-X, 2021. , NeurIPS 2021 workshop 鈥淵our model is wrong: Robustness and misspecification in probabilistic modelling鈥�.

Invited talks

• Distributionally Robust Optimisation with Bayesian Ambiguity Sets, UCL Centre for Data Science Symposium - Computational Statistics and Machine Learning in the Sciences, oral presentation (November 2024, London Mathematical Society)
• Robust Bayesian Inference for Simulator-based Models and Measurement Error, PHYSTAT-SBI: workshop on Simulation-Based Inference in the context of Astronomy, Cosmology and Particle Physics, oral presentation (May 2024, Technical University of Munich)
• Robust Bayesian Inference for Simulator-based Models and Measurement Error, Workshop on Functional Inference and Machine Intelligence (FIMI), oral presentation (March 2024, University of Bristol)
• Robust Bayesian Inference for Berkson and Classical Measurement Error, Algorithms and Computationally Intensive Inference Seminars, oral presentation (February 2024, University of 糖心TV)
• Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap, Seminar on Advances in Probabilistic Machine Learning, Aalto University and ELLIS unit Helsinki, oral presentation (February 2023, remote)
• Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap, One World ABC seminar, University of 糖心TV, oral presentation (May 2022, remote)
• Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap, DeepMind/ELLIS CSML Seminar, University College London, oral presentation (May 2022, London)
• Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap, Seminar series, Purdue University, oral presentation (May 2022, remote)
• Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap, CSML @ Cambridge reading group, University of Cambridge, oral presentation (April 2022, remote)
• Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap, MLRG Seminar, CSIRO's Data61, oral presentation (April 2022, remote)
  
• Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap, Statistics in Data-Centric Engineering (S-DCE) Seminar Series, Alan Turing Institute, oral presentation (January 2022, remote)

Tutorial teaching

• ST115 Introduction to Probability (Term 2, 2021/2022)
• ST111/ST112 Probability A/B (Term 2, 2020/2021)

Email: c dot dellaporta at warwick.ac.uk