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15 Results

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Poster
Thu 9:00 Asymptotics of smoothed Wasserstein distances in the small noise regime
Yunzi Ding · Jonathan Niles-Weed
Poster
Tue 14:00 Robust Neural Posterior Estimation and Statistical Model Criticism
Daniel Ward · Patrick Cannon · Mark Beaumont · Matteo Fasiolo · Sebastian Schmon
Poster
Tue 9:00 Private Estimation with Public Data
Alex Bie · Gautam Kamath · Vikrant Singhal
Poster
Thu 14:00 Mean Estimation with User-level Privacy under Data Heterogeneity
Rachel Cummings · Vitaly Feldman · Audra McMillan · Kunal Talwar
Poster
Thu 9:00 Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying
Poster
Thu 9:00 DP-PCA: Statistically Optimal and Differentially Private PCA
Xiyang Liu · Weihao Kong · Prateek Jain · Sewoong Oh
Poster
Thu 14:00 Semantic uncertainty intervals for disentangled latent spaces
Swami Sankaranarayanan · Anastasios Angelopoulos · Stephen Bates · Yaniv Romano · Phillip Isola
Poster
Thu 14:00 Private and Communication-Efficient Algorithms for Entropy Estimation
Gecia Bravo-Hermsdorff · Róbert Busa-Fekete · Mohammad Ghavamzadeh · Andres Munoz Medina · Umar Syed
Poster
Wed 9:00 New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
Gautam Kamath · Argyris Mouzakis · Vikrant Singhal
Poster
Tue 9:00 Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Ilias Diakonikolas · Daniel Kane · Jasper Lee · Ankit Pensia
Poster
Wed 9:00 Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
Yihan Zhang · Nir Weinberger
Poster
Tue 14:00 List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
Ilias Diakonikolas · Daniel Kane · Sushrut Karmalkar · Ankit Pensia · Thanasis Pittas