Welcome to The Salon!

The Salon is a group dedicated to the study of Statistics, Algorithms, Learning, and OptimizatioN. It is led by Professor Gautam Kamath at the Cheriton School of Computer Science at the University of Waterloo. Current emphases of the group include enriching our understanding of data privacy and robustness in statistics and machine learning.

The name of The Salon is in reference to the French practice from the 17th and 18th centuries, a central venue for exchange of some of the most important ideas of the era.

News

Recent Publications

A Private and Computationally-Efficient Estimator for Unbounded Gaussians

Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data

Robust Estimation for Random Graphs

The Price of Tolerance in Distribution Testing

Calibration with Privacy in Peer Review

Members

Le Salonneur

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Gautam Kamath

Assistant Professor of Computer Science

Statistics, Machine Learning, Data Privacy, Robustness

Postdoctoral Researchers

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Vikrant Singhal

Postdoctoral Fellow

Statistics, Machine Learning, Data Privacy

Graduate Researchers

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Alex Bie

MMath Computer Science Student

Privacy, Fairness

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Argyris Mouzakis

PhD Computer Science Student

Machine Learning Theory, Algorithmic Statistics, Privacy, Applied Probability

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Christian Covington

MMath Computer Science Student

Statistical Validity, Data Privacy, Robustness

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Mahbod Majid

MMath Computer Science Student

Private Statistics, Robust Statistics

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Matthew Regehr

MMath Computer Science Student

Machine Learning, Privacy, Reinforcement Learning

Undergraduate Researchers

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Andrew Guo

Bachelors of Software Engineering

Machine Learning, Computer Vision

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Jimmy Di

BMath in Computer Science Student

Machine Learning, Privacy, Robustness

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Landy Xu

BMath Computer Science & Statistics student

Machine Learning, Data Privacy, Statistics, Programming

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Nicholas Vadivelu

BMath Computer Science & Statistics Student

Machine Learning, Statistics, Programming Languages

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Sourav Biswas

BMath Computer Science & BBA Finance Student

Statistics, Machine Learning, Computer Vision, Data Privacy

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Xingtu Liu

BMath Student

Deep Learning Theory, Machine Learning, Statistics, Optimization

Research Assistants

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Sushant Agarwal

Research Assistant

Theoretical Computer Science, Machine Learning, Ethical aspects (Fairness, Interpretability, Privacy, Robustness) in ML

Affiliated Researchers

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Linfeng Ye

MEng Electrical and Computer Engineering student

Computer Vision, Optimization, Machine Learning

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Pranav Subramani

MMath Data Science Student

Probabilistic Programming, Bayesian Inference, Differential Privacy, Adversarial Robustness

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Shubhankar Mohapatra

PhD Computer Science Student

Data Privacy, Machine Learning, Federated Learning, Data Cleaning