. State of the art of Multi-Player Bandits: Theory, Applications and Simulations.
. Bayesian Modeling via Goodness-of-fit: An Interactive Bayesian Framework That
Embraces Both Data and Science.
. When to stop? A generalized analysis with localized complexities.
. Algorithms for Climate Informatics: Learning from spatiotemporal data with both spatial and temporal non-stationarity.
. Generative Models and Optimal Transport.
Bharath K. Sriperumbudur
- Statistical Consistency of Kernel PCA with Random Features.
- Shrinkage Estimation in Reproducing Kernel Hilbert Spaces.
- Stochastic Variance Reduction for Nonconvex Optimization.
- Density Functional Estimation.
. Random Fourier Features for Operator-valued kernels.
David Lopez-Paz. Discovering causation in data.
. Low Rank Tensor Completion.
. A Regularization View on Stochastic Gradient Methods.