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06/17/2023
Active Policy Improvement from Multiple Black-box Oracles
Reinforcement learning (RL) has made significant strides in various comp...
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10/28/2021
Teaching an Active Learner with Contrastive Examples
We study the problem of active learning with the added twist that the le...
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11/06/2020
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
While uncertainty estimation is a well-studied topic in deep learning, m...
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02/18/2020
Picking Winning Tickets Before Training by Preserving Gradient Flow
Overparameterization has been shown to benefit both the optimization and...
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05/15/2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
Reducing the test time resource requirements of a neural network while p...
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10/29/2018
Three Mechanisms of Weight Decay Regularization
Weight decay is one of the standard tricks in the neural network toolbox...
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06/12/2018
Differentiable Compositional Kernel Learning for Gaussian Processes
The generalization properties of Gaussian processes depend heavily on th...
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11/16/2017
