(Invited talk) Statistics student seminar, Columbia University. Stability and reliability under distributional shifts (October 2021) [slides][video]
Joint Statistical Meetings-American Statistical Association. The s-value: evaluating stability with respect to distributional shifts (August 2021) [slides]
Bernoulli-IMS 10th World Congress in Probability and Statistics, Seoul National University, Seoul, Korea. The s-value: evaluating stability with respect to distributional shifts (July 2021) [slides]
(Spotlight talk) 2021 ICML Workshop on Distribution-free Uncertainty Quantification . Robust Validation: Confident Predictions Even When Distributions Shift (July 2021) [slides]
(Invited talk) International Indian Statistical Association (IISA) Annual Conference. Robust Validation: Confident Predictions Even When Distributions Shift (April 2021) [slides]
(Invited talk) Berkeley-Stanford Joint Colloquium, UC Berkeley. Robust Validation: Confident Predictions Even When Distributions Shift (April 2021) [slides]
Stanford Data Practices Conference, Stanford University. Robust Validation: Confident Predictions Even When Distributions Shift (October 2020) [slides]
Industrial Affiliates Conference, Stanford University. Robust Validation: Confident Predictions Even When Distributions Shift (October 2020) [slides]
Machine Learning group, Stanford University. Knowing what you know: valid confidence sets in multiclass and multilabel prediction (April 2020) [slides]