We introduce a new class of algorithms, Stochastic Generalized Method of...
Batch reinforcement learning (RL) aims at finding an optimal policy in a...
General nonlinear sieve learnings are classes of nonlinear sieves that c...
With the advancement of the data acquisition techniques, multi-view lear...
We study the off-policy evaluation (OPE) problem in an infinite-horizon
...
Matching logic is a formalism for specifying and reasoning about structu...
We investigate the computational performance of Artificial Neural Networ...
We introduce computationally simple, data-driven procedures for estimati...
This paper considers adaptive estimation of quadratic functionals in the...
Most network partitioning methods for Macroscopic Fundamental Diagram ar...
The estimation of causal effects is a primary goal of behavioral, social...
We develop an inference method for a (sub)vector of parameters identifie...
This study explores how people view and respond to the proposals of NYC
...
This paper considers estimation and inference for a weighted average
der...
Prototyping is an effective and efficient way of requirement validation ...
Decoupled fractional Laplacian wave equation can describe the seismic wa...