Frequentist inference

Bayesian Online Changepoint Detection

Ryan P. Adams, David Mackay

Citations: 602 • 2007

Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Citations: 283 • 2018

PROBE-GK: Predictive robust estimation using generalized kernels

Valentin Peretroukhin, William Vega-Brown, Nicholas Roy, Jonathan Kelly

Citations: 17 • 2016

Dating a Synthetic Character is Like Dating a Man

Johan F. Hoorn, Elly A. Konijn, Matthijs Pontier

Citations: 13 • 2018

Multiarmed Bandit Algorithms on Zynq System-on-Chip: Go Frequentist or Bayesian?

Sandeep Santosh, Sumit J. Darak

Citations: 11 • 2022

Learning to filter with predictive state inference machines

Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell

Citations: 11 • 2016

A Linearly Constrained Nonparametric Framework for Imitation Learning

Yanlong Huang, Darwin G. Caldwell

Citations: 10 • 2020

Learning to Filter with Predictive State Inference Machines

Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell

Citations: 8 • 2015

NEW DEFINITION OF PREDICTION WITHOUT LOGICAL INFERENCE

Evgenii Vityaev, Stanislav Smerdov

Citations: 7 • 2009

AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms

Marco Cusumano-Towner, Vikash K. Mansinghka

Citations: 5 • 2017

A frequentist approach to mapping under uncertainty

Suman Chakravorty, R. Saha

Citations: 3 • 2011

Towards efficient inference update through planning via JIP — Joint inference and belief space planning

Elad I. Farhi, Vadim Indelman

Citations: 3 • 2017

Safe Reinforcement Learning in Uncertain Contexts

Dominik Baumann, Thomas B. Schön

Citations: 1 • 2024