Talks
Confidence Sets under Generalized Self-Concordance
- NeurIPS Score-Based Methods Workshop, December 2022, New Orleans, US.
Orthogonal Statistical Learning with Self-Concordant Loss
- UW IFDS Seminar, October 2022, Seattle, US.
- IFDS Workshop on Distributional Robustness, August 2022, Seattle, US.
- COLT 2022, July 2022, London, UK.
Entropy Regularized Optimal Transport Independence Criterion
- ITA 2023, February 2023, San Diego, US.
- COMPSTAT 2022, August 2022, Virtual Conference.
- JSM 2022, August 2022, Washington DC, US.
- PIMS-IFDS-NSF Summer School on Optimal Transport, June 2022, Seattle, US.
- AISTATS 2022, March 2022, Virtual Conference.
- Kantorovich Initiative Retreat, March 2022, Seattle, US.
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
- SIAM MDS 2022, September 2022, San Diego, US.
- TRIPODS Meeting, September 2022, Virtual Poster Session.
- UW IFDS Seminar, January 2022, Seattle, US.
- NeurIPS 2021, December 2021, Virtual Conference.
- Joint IFML/CCSI Symposium, November 2021, Berkeley, US.
Discrete Schrödinger Bridges with Applications to Two-Sample Homogeneity Testing
- NeurIPS 2021 OTML Workshop, December 2021, Virtual Conference.
Asymptotics of Entropy-Regularized Optimal Transport via Chaos Decomposition
- Joint Statistical Meeting, August 2021, Virtual Conference.
- BIRS Workshop on Entropic Regularization of Optimal Transport and Applications, June 2021, Virtual Conference.
- UW Probability Seminar, November 2020, Seattle, US.
- UW Machine Learning Retreat, November 2020, Seattle, US.
Gradient-Based Monitoring of Learning Machines
- IEEE International Conference on Acoustics, Speech and Signal Processing, June 2021, Virtual Conference.
- Symposium on Data Science and Statistics, June 2021, Virtual Conference.
- IFDS Kickoff Meeting, September 2020, Seattle, US.
- Google Statistics Journal Club, September 2020, Seattle, US.
- Google Research NYC and Athena Org Intern Talks, July 2020, Seattle, US.
- ICML Workshop on Challenges in Deploying and Monitoring Machine Learning Systems, July 2020, Virtual Conference.
Statistical Divergences for Learning and Inference: A Non-Asymptotic Viewpoint
Slides Video
- Ph.D. Final Exam, September 2022, Seattle, US.
Probability Metrics for Statistical Learning and Inference: Limit Laws and Non-Asymptotic Bounds
Slides Video
- Ph.D. General Exam, December 2021, Seattle, US.