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05/30/2023
Adaptive Conditional Quantile Neural Processes
Neural processes are a family of probabilistic models that inherit the f...
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02/18/2023
Calibrating the Rigged Lottery: Making All Tickets Reliable
Although sparse training has been successfully used in various resource-...
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01/19/2022
Ordinal Causal Discovery
Causal discovery for purely observational, categorical data is a long-st...
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12/18/2021
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching
We consider the off-policy evaluation (OPE) problem in contextual bandit...
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05/08/2021
Spline-Based Bayesian Emulators for Large Scale Spatial Inverse Problems
A Bayesian approach to nonlinear inverse problems is considered where th...
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01/14/2019