We study a mechanism design problem in the blockchain proof-of-stake (Po...
Motivated by recent interests in predictive inference under distribution...
We study reinforcement learning (RL) in the setting of continuous time a...
We develop Bayesian predictive stacking for geostatistical models. Our
a...
This paper is concerned with the convergence rate of policy iteration fo...
Gaussian processes are widely employed as versatile modeling and predict...
We study the convergence rate of continuous-time simulated annealing (X_...
Statistical modeling for massive spatial data sets has generated a
subst...
In this paper, we consider mixtures of multinomial logistic models (MNL)...
This paper develops further the idea of perturbed gradient descent, by
a...
A classical result for the simple symmetric random walk with 2n steps is...
This paper is concerned with statistical estimation of two preferential
...
Motivated by recent works on the high-dimensional logistic regression, w...
Spatial process models popular in geostatistics often represent the obse...
In this paper we are concerned with various Mallows ranking models. Firs...