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07/22/2023
Collaboratively Learning Linear Models with Structured Missing Data
We study the problem of collaboratively learning least squares estimates...
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02/10/2023
Causal Inference out of Control: Estimating the Steerability of Consumption
Regulators and academics are increasingly interested in the causal effec...
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11/10/2022
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
Automated detecting lung infections from computed tomography (CT) data p...
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10/31/2022
Private optimization in the interpolation regime: faster rates and hardness results
In non-private stochastic convex optimization, stochastic gradient metho...
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04/28/2022
Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removal
Rain is one of the most common weather which can completely degrade the ...
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03/18/2022
Approximate Function Evaluation via Multi-Armed Bandits
We study the problem of estimating the value of a known smooth function ...
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03/01/2022
When A Conventional Filter Meets Deep Learning: Basis Composition Learning on Image Filters
Image filters are fast, lightweight and effective, which make these conv...
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08/16/2021
Fine-tuning is Fine in Federated Learning
We study the performance of federated learning algorithms and their vari...
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01/07/2021
Accelerated, Optimal, and Parallel: Some Results on Model-Based Stochastic Optimization
We extend the Approximate-Proximal Point (aProx) family of model-based m...
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07/10/2020
Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling
Topic modeling has been one of the most active research areas in machine...
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11/06/2018