Statistical Learning
Locally Private Learning without Interaction Requires Separation
Neural Information Processing Systems http://nips.cc/
Statistical mechanics of low-rank tensor decomposition
Jonathan Kadmon, Surya Ganguli
Neural Information Processing Systems http://nips.cc/
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication Martijn de V os
We discuss these works in more detail in Section 5. Authors are listed in alphabetical order.
Discriminative Calibration: Check Bayesian
However, SBC has drawbacks: The test statistic is somewhat ad-hoc, interactions are difficult to examine, multiple testing is a challenge, and the resulting p-value is not a divergence metric.
Reparameterization Gradient for Non-differentiable Models
Wonyeol Lee, Hangyeol Yu, Hongseok Yang
Neural Information Processing Systems http://nips.cc/
