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Fusing Loop Detector and Probe Vehicle Data to Estimate Travel Time Statistics on Signalized Urban Networks

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Multiple testing with test statistics following heavy-tailed distributions

Zhiwen Jiang

In multiple testing problems where the components come from a mixture model of noise and true effect, we seek to first test for the existence of the non-zero components, and then identify the true alternatives under a fixed significance level

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EPFL2021

Fusing Loop Detector and Probe Vehicle Data to Estimate Travel Time Statistics on Signalized Urban Networks

Graph Chatbot

Chattez avec Graph Search

Revisiting the Calculation of the Early Time HEMP Conducted Environment

System and methods for differential imaging using a lock-in camera

Multiple testing with test statistics following heavy-tailed distributions

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Wasserstein Distributionally Robust Learning

From Data to Decisions: Distributionally Robust Optimization is Optimal

Distributional Robustness in Mechanism Design

Collaborative Sampling in Generative Adversarial Networks

A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers

System and methods for differential imaging using a lock-in camera

Unbiased Monte Carlo cluster updates with autoregressive neural networks

Wasserstein Distributionally Robust Learning

Distributional Robustness in Mechanism Design

Multiple testing with test statistics following heavy-tailed distributions

Collaborative Sampling in Generative Adversarial Networks

A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers

Revisiting the Calculation of the Early Time HEMP Conducted Environment

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

From Data to Decisions: Distributionally Robust Optimization is Optimal