Systems and methods for stochastic optimization of a robust inference problem

A kind of problem and robust technology, applied in the system and field of stochastic optimization of robust reasoning problems, can solve complex problems that cannot be solved directly numerically, and achieve the effect of improving the technical field

Pending Publication Date: 2020-09-15
1QB INFORMATION TECHNOLOGIES INC
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In various engineering domains, robust inference problems are often too co...

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  • Systems and methods for stochastic optimization of a robust inference problem
  • Systems and methods for stochastic optimization of a robust inference problem
  • Systems and methods for stochastic optimization of a robust inference problem

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Embodiment Construction

[0049] While various embodiments of the present invention have been shown and described herein, it will be readily understood by those skilled in the art that such embodiments are provided by way of example only. Numerous alterations, changes, and substitutions will now occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed.

[0050] As used herein, the singular forms "a", "an", etc. include plural referents unless the context clearly dictates otherwise. Any reference herein to "or" is intended to include "and / or" unless stated otherwise.

[0051] A "variable" disclosed herein is equivalent to a "variant" herein.

[0052] Setting the value of a vector as disclosed herein, eg, a continuous vector or a discrete vector, may set the value of each element of the vector. In other cases, setting the value of a vector may set a value to one or more...

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Abstract

The present disclosure provides methods and systems for stochastic optimization of a robust inference problem using a sampling device. Specifically, the methods and systems of the present disclosure enable smoothing of objective functions, thereby making such functions amenable to computation via stochastic-gradient methods using sampling in place of solving the inference problem exactly. Such methods and systems advantageously connect the gradient of the smoothed function approximation to a Boltzmann distribution, which can be sampled by a sampling device, such as a Gibbs sampler, using a simulated process and/or quantum process, in particular quantum-annealing process, thermal or adiabatic relaxation of a classical computer, semi-classical computer, or a quantum processor/device, and/orother physical process.

Description

[0001] cross reference [0002] This application claims priority to U.S. Provisional Application No. 62 / 593,563, filed December 1, 2017, and U.S. Patent Application No. 62 / 716,041, filed August 8, 2018, each of which is incorporated by reference in its entirety at this. Background technique [0003] In various engineering domains, robust inference problems are often too complex to be solved directly numerically, even when direct mathematical models can exist. Stochastic optimization is a method for minimizing or maximizing functions that uses stochasticity to partially evaluate constituent functions and can thus be suitable for optimizing very complex models. Contents of the invention [0004] The methods and systems of the present disclosure advantageously enable the smoothing of various objective functions in robust inference problems, making these functions suitable for computation by stochastic gradient methods using sampling instead of solving the inference problems e...

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Application Information

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IPC IPC(8): G06F17/11G06N10/00G06N7/00G06N20/10G06N5/00
CPCG06F17/11G06N10/00G06N20/10G06N5/01G06N7/01G06F17/18G06N3/02G06N7/08G06F18/211G06F18/213
Inventor 迈克尔·保罗·弗里德兰德普亚·罗纳格贝赫鲁兹·赛佩里
Owner 1QB INFORMATION TECHNOLOGIES INC
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