# Ioannis Mitliagkas

According to our database

Collaborative distances:

^{1}, Ioannis Mitliagkas authored at least 31 papers between 2010 and 2019.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2019

SysML: The New Frontier of Machine Learning Systems.

CoRR, 2019

Multi-objective training of Generative Adversarial Networks with multiple discriminators.

CoRR, 2019

2018

A Modern Take on the Bias-Variance Tradeoff in Neural Networks.

CoRR, 2018

h-detach: Modifying the LSTM Gradient Towards Better Optimization.

CoRR, 2018

Negative Momentum for Improved Game Dynamics.

CoRR, 2018

Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.

CoRR, 2018

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations.

CoRR, 2018

Learning Representations and Generative Models for 3D Point Clouds.

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Representations and Generative Models for 3D Point Clouds.

Proceedings of the 6th International Conference on Learning Representations, 2018

Accelerated Stochastic Power Iteration.

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data.

CoRR, 2017

YellowFin and the Art of Momentum Tuning.

CoRR, 2017

Accelerated Stochastic Power Iteration.

CoRR, 2017

Improving Gibbs Sampler Scan Quality with DoGS.

CoRR, 2017

Representation Learning and Adversarial Generation of 3D Point Clouds.

CoRR, 2017

Deep learning at 15PF: supervised and semi-supervised classification for scientific data.

Proceedings of the International Conference for High Performance Computing, 2017

Improving Gibbs Sampler Scan Quality with DoGS.

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Parallel SGD: When does averaging help?

CoRR, 2016

Asynchrony begets Momentum, with an Application to Deep Learning.

CoRR, 2016

Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much.

CoRR, 2016

Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs.

CoRR, 2016

Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much.

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Asynchrony begets momentum, with an application to deep learning.

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

FrogWild! - Fast PageRank Approximations on Graph Engines.

PVLDB, 2015

FrogWild! - Fast PageRank Approximations on Graph Engines.

CoRR, 2015

2014

Finding Dense Subgraphs via Low-Rank Bilinear Optimization.

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Memory Limited, Streaming PCA.

CoRR, 2013

Memory Limited, Streaming PCA.

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2011

Joint Power and Admission Control for Ad-Hoc and Cognitive Underlay Networks: Convex Approximation and Distributed Implementation.

IEEE Trans. Wireless Communications, 2011

User rankings from comparisons: Learning permutations in high dimensions.

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Distributed joint power and admission control for ad-hoc and cognitive underlay networks.

Proceedings of the IEEE International Conference on Acoustics, 2010