• Structure in high-dimensional non-parametric problems: Two modern vignettes
    Stanford ISL Colloquium, Oct 2019.

  • Max-affine regression: Structure in high dimensional convex regression and its relatives
    Cornell ORIE Young Researchers Workshop, Oct 2019.

  • Non-linear dimensionality reduction and linear-quadratic control for the supply chain
    Amazon New York, August 2018.

  • Beyond Parametric Models? Permutation-based, Shape-Constrained Models for Ranking and Crowd-labeling
    Princeton CISS, March 2020.
    Cornell Dept. of CS, October 2018.
    Columbia Dept. of Statistics, August 2018.
    Tata Institute of Fundamental Research, Mumbai, January 2018.

  • Robust Estimation from Partial Pairwise Comparisons
    NIPS Workshop on Learning on Distributions, Functions, Graphs, and Groups (oral).
    Invited talk at Asilomar Conference on Signals and Systems, Oct 2017.
    At the Microsoft Research Deep Learning Group, August 2017.

  • Quantitative Stability of the Entropy Power Inequality
    At the Microsoft Research Theory Lunch, July 2017.

  • Denoising Linear Models with Permuted Data
    At the IEEE International Symposium on Information Theory (ISIT), Aachen, June 2017.