
Averagereward modelfree reinforcement learning: a systematic review and literature mapping
Modelfree reinforcement learning (RL) has been an active area of resear...
read it

Stochastic Normalizing Flows
We introduce stochastic normalizing flows, an extension of continuous no...
read it

Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
Analysing and computing with Gaussian processes arising from infinitely ...
read it

The reproducing Stein kernel approach for posthoc corrected sampling
Stein importance sampling is a widely applicable technique based on kern...
read it

Richer priors for infinitely wide multilayer perceptrons
It is wellknown that the distribution over functions induced through a ...
read it

LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
We apply methods from randomized numerical linear algebra (RandNLA) to d...
read it

Limit theorems for outofsample extensions of the adjacency and Laplacian spectral embeddings
Graph embeddings, a class of dimensionality reduction techniques designe...
read it

Implicit Langevin Algorithms for Sampling From Logconcave Densities
For sampling from a logconcave density, we study implicit integrators r...
read it

DINGO: Distributed NewtonType Method for GradientNorm Optimization
For optimization of a sum of functions in a distributed computing enviro...
read it

NewtonMR: Newton's Method Without Smoothness or Convexity
Establishing global convergence of the classical Newton's method has lon...
read it
Fred Roosta
is this you? claim profile