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08/28/2023
Sharper dimension-free bounds on the Frobenius distance between sample covariance and its expectation
We study properties of a sample covariance estimate Σ= (𝐗_1 𝐗_1^⊤ + … + ...
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02/21/2023
Exploring Local Norms in Exp-concave Statistical Learning
We consider the problem of stochastic convex optimization with exp-conca...
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06/21/2022
A Contrastive Approach to Online Change Point Detection
We suggest a novel procedure for online change point detection. Our appr...
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06/20/2022
Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations
This paper investigates the approximation properties of deep neural netw...
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12/13/2021
Inference via Randomized Test Statistics
We show that external randomization may enforce the convergence of test ...
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01/31/2021
Exponential Savings in Agnostic Active Learning through Abstention
We show that in pool-based active classification without assumptions on ...
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01/30/2021
Rates of convergence for density estimation with GANs
We undertake a precise study of the non-asymptotic properties of vanilla...
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12/15/2020
Manifold-based time series forecasting
Prediction for high dimensional time series is a challenging task due to...
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06/12/2019
Structure-adaptive manifold estimation
We consider a problem of manifold estimation from noisy observations. We...
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04/08/2018