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04/14/2023
Robust Algorithms on Adaptive Inputs from Bounded Adversaries
We study dynamic algorithms robust to adaptive input generated from sour...
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03/03/2023
Streaming Algorithms for Learning with Experts: Deterministic Versus Robust
In the online learning with experts problem, an algorithm must make a pr...
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12/15/2022
Privately Estimating a Gaussian: Efficient, Robust and Optimal
In this work, we give efficient algorithms for privately estimating a Ga...
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09/30/2022
Optimal Query Complexities for Dynamic Trace Estimation
We consider the problem of minimizing the number of matrix-vector querie...
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07/16/2022
Online Prediction in Sub-linear Space
We provide the first sub-linear space and sub-linear regret algorithm fo...
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04/26/2022
Faster Fundamental Graph Algorithms via Learned Predictions
We consider the question of speeding up classic graph algorithms with ma...
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10/22/2020
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
We study the problem of improving the performance of online algorithms b...
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07/31/2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
We study the problem of estimating the mean of a distribution in high di...
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08/13/2019
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates
We study the algorithmic problem of estimating the mean of heavy-tailed ...
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05/28/2019