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02/06/2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
Dealing with distribution shifts is one of the central challenges for mo...
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07/05/2022
Adapting to Online Label Shift with Provable Guarantees
The standard supervised learning paradigm works effectively when trainin...
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12/29/2021
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization
We investigate online convex optimization in non-stationary environments...
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07/07/2020
Dynamic Regret of Convex and Smooth Functions
We investigate online convex optimization in non-stationary environments...
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02/05/2020
Exploratory Machine Learning with Unknown Unknowns
In conventional supervised learning, a training dataset is given with gr...
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10/21/2019