# Variance reduction

## Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

Review

2017

Review

2017

- AAAI
- 2017

Although semi-supervised variational autoencoder (SemiVAE) works in image classification task, it fails in text classificationâ€¦Â (More)

Is this relevant?

Highly Cited

2016

Highly Cited

2016

- ICML
- 2016

We study nonconvex finite-sum problems and analyze stochastic variance reduced gradient (SVRG) methods for them. SVRG and relatedâ€¦Â (More)

Is this relevant?

Highly Cited

2016

Highly Cited

2016

- ICML
- 2016

We consider the fundamental problem in nonconvex optimization of efficiently reaching a stationary point. In contrast to theâ€¦Â (More)

Is this relevant?

Highly Cited

2013

Highly Cited

2013

- NIPS
- 2013

Stochastic gradient descent is popular for large scale optimization but has slow convergence asymptotically due to the inherentâ€¦Â (More)

Is this relevant?

2013

2013

- NIPS
- 2013

Stochastic gradient optimization is a class of widely used algorithms for training machine learning models. To optimize anâ€¦Â (More)

Is this relevant?

Highly Cited

2003

Highly Cited

2003

- Bioinformatics
- 2003

MOTIVATION
When running experiments that involve multiple high density oligonucleotide arrays, it is important to remove sourcesâ€¦Â (More)

Is this relevant?

Highly Cited

2002

Highly Cited

2002

- 2002

Demographic stochasticity is almost universally modeled as sampling variance in a homogeneous population, although it is definedâ€¦Â (More)

Is this relevant?

Highly Cited

2001

Highly Cited

2001

- Journal of Machine Learning Research
- 2001

Policy gradient methods for reinforcement learning avoid s ome of the undesirable properties of the value function approachesâ€¦Â (More)

Is this relevant?

Highly Cited

2000

Highly Cited

2000

- 2000

T paper describes, analyzes and evaluates an algorithm for estimating portfolio loss probabilities using Monte Carlo simulationâ€¦Â (More)

Is this relevant?

Highly Cited

1996

Highly Cited

1996

- 1996

Recent work has shown that combining multiple versions of unstable classifiers such as trees or neural nets results in reducedâ€¦Â (More)

Is this relevant?