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12/29/2022
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
Sequential testing, always-valid p-values, and confidence sequences prom...
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07/28/2021
One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters
Suppose that we observe a short time series where each time-t-specific d...
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06/03/2021
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
Empirical risk minimization (ERM) is the workhorse of machine learning, ...
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06/01/2021
Post-Contextual-Bandit Inference
Contextual bandit algorithms are increasingly replacing non-adaptive A/B...
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01/29/2021
Adaptive Sequential Design for a Single Time-Series
The current work is motivated by the need for robust statistical methods...
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01/18/2021
Sequential causal inference in a single world of connected units
We consider adaptive designs for a trial involving N individuals that we...
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04/05/2017
