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04/11/2023
Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning
Interpretability of AI models allows for user safety checks to build tru...
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10/16/2022
Entropy Regularized Reinforcement Learning with Cascading Networks
Deep Reinforcement Learning (Deep RL) has had incredible achievements on...
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11/13/2020
Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning
Convex optimizers have known many applications as differentiable layers ...
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06/10/2020
Reinforcement Learning from a Mixture of Interpretable Experts
Reinforcement learning (RL) has demonstrated its ability to solve high d...
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01/29/2020
An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions
The Nadaraya-Watson kernel estimator is among the most popular nonparame...
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02/07/2019