Search for tag: "gradient descent"

Thumbnail for entry ORIE Colloquium, 3/18/2020 - Ashia Wilson

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ORIE Colloquium, 3/18/2020 - Ashia Wilson

ORIE Colloquium, 3/18/2020 - Ashia Wilson

ORIE Colloquium, 3/18/2020 - Ashia Wilson

“Variational Perspectives on Machine Learning: Algorithms, Inference, and Fairness”Machine learning plays a key role in shaping the decisions made by a growing number of institutions.…

numerical analysis
force
incredibly hard
machine learning model
convergence rate
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forms of energy
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2nd order
learning
measurement
ejc85
systems theory
objective function
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university of colorado at boulder
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machine learning
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gradient descent
and air conditioning
error
functional derivative
excel aeration
statistical models
model selected
statistical error
statistical deviation and dispersion
From  E. Cornelius on March 17th, 2020 110 plays
Thumbnail for entry Young Researchers October 2019 (Not recorded correctly)

02:22:33

Young Researchers October 2019 (Not recorded…

Young Researchers October 2019 (Not recorded correctly)

Young Researchers October 2019 (Not recorded correctly)

linear program
expected reward
partial smoothness
highest probability
generalized equation
geometric topology
contemporary art
specific bundle
differential calculus
salesman problem
global convergence
blue set
general case
elementary algebra
classical deterministic
poll numbers
smooth functions
higher degree
cubic polynomial
longer hold
optimization algorithms and methods
underlying structure function
dimensional problem
mathematical and quantitative methods (economics)
smooth gradient
squares polynomials
minimal case
stationary condition
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gradient descent
expected number
upper bound
local min
variational inequalities
numerical analysis
ejc85
lower dimensional
deterministic algorithm
linear convergence rate
first order methods
active manifold
semi definite
objective function
chromatic number
convex analysis
local man
statistical theory
negative gradient direction
original objective
starting point
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north space
wider search space
high level idea
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statistical methods
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gradient approximation
professor card
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bundle size
traditional sort
equations
topology
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probability theory
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quality
1st order method
types of functions
local minima
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multivariable calculus
differential geometry
holds true
operations research
systems engineering
smooth function
statistical model
natural question
online algorithm
constant rank
manifolds
dynamic programming
competitive ratio
type method
high dimension
quadratic approximation
function evaluation
intersection point
regression analysis
open question
decomposable properties
2nd order
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1st order
caption complete
design of experiments
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fast convergence
mathematical optimization
small probabilities
adjacent vertices
true gradient
single edge
sufficient decrease
good conditioning
strong perfect
linear operators in calculus
n.p. hard
root-finding algorithms
nonce move
From  E. Cornelius on October 5th, 2019 5 plays