Talks

• Towards a New Toolbox of Optimal Statistical Primitives
  • The Chinese University of Hong Kong CSE Regular Seminar (Apr 2025)
  • UC Davis Math and Data Science Seminar (Oct 2024)


• Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation
  • TTIC Workshop on New Frontiers in Robust Statistics (June 2024)


• Mean and Location Estimation with Optimal Constants
  • University of Southern California Probability and Statistics Seminar (June 2023)
  • UC Berkeley (June 2023)
  • University of Washington, Institute for Foundations of Data Science Weekly Seminar (May 2023)


• Optimal Sub-Gaussian Mean Estimation in R
  • FOCS 2021
  • TCS+ (Mar 2021)
  • MIT (Feb 2021)
  • University of Waterloo A&C Seminar (Feb 2021)
  • UW Madison (Jan 2021)
  • Johns Hopkins Algorithms and Complexity Seminar (Sep 2020)
  • Columbia University Theory Lunch (Sep 2020)


• Uncertainty about Uncertainty: Optimal Adaptive Algorithms for Estimating Mixtures of Unknown Coins
  • SODA 2021
  • University of Cambridge (Jan 2020)
  • Mittagsseminar at ETH Zürich (July 2019)
  • Theory Lunch at the Chinese University of Hong Kong (Jan 2019)


• Augmenting Stream Constraint Programming with Eventuality Conditions
  • CP 2018


• Optimizing Star-Convex Functions
  • FOCS 2016
  • University of Cambridge (June 2016)


• Towards Practical Infinite Data Stream Constraint Solving: Applications and Implementation
  • CP 2014