About me
I'm a third year PhD Student at CREST / ENSAE, Paris under the supervision of Anna Korba. I'm working on sampling, optimisation on the space of probability distributions and kernel methods.
Papers & Preprints
- Chazal, C., Kanagawa, H., Shen, Z., Korba, A., & Oates, C. (2025). A computable measure of suboptimality for entropy-regularised variational objectives . arXiv preprint. [poster] [slides] [code]
- Chazal, C., Korba, A. & Bach, F. (2024). Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence . Advances in Neural Information Processing Systems. [poster] [slides] [code]
Conferences
- Autumn School on Recent Advances in Machine Learning, Aussois, November 2025 (Poster)
- Kernels, Flows and Sampling workshop, Newcastle University, October 2025 (Talk)
- NeurIPS, Vancouver, December 2024 (Poster)
- NeurIPS@Paris, Paris, December 2024 (Talk & Poster)
- SIGMA Workshop, CIRM, October 2024 (Poster)
- Junior conference on Data Science and Engineering, September 2024 (Talk)
Teaching (tutorials)
- Mathematical Statistics (Master 2), ENSAE Paris.
- Probability (Master 1), ENSAE Paris.
- Measure Theory (Bachelor, 3rd year), ENSAE Paris.
- Optimization (Bachelor, 3rd year), ENSAE Paris.