Mátyás A. Sustik

According to our database, Mátyás A. Sustik authored at least 12 papers between 2005 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Elasticity Based Demand Forecasting and Price Optimization for Online Retail.

Chengcheng Liu, Mátyás A. Sustik

CoRR, 2021

2019

Anomaly Detection for an E-commerce Pricing System.

Jagdish Ramakrishnan, Elham Shaabani, Chao Li, Mátyás A. Sustik

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2014

QUIC: quadratic approximation for sparse inverse covariance estimation.

Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar

J. Mach. Learn. Res., 2014

2013

BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables.

Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar, Russell A. Poldrack

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

2012

On a Zero-Finding Problem Involving the Matrix Exponential.

Mátyás A. Sustik, Inderjit S. Dhillon

SIAM J. Matrix Anal. Appl., 2012

Sparse Approximate Manifolds for Differential Geometric MCMC.

Ben Calderhead, Mátyás A. Sustik

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Automatic performance model synthesis from hardware verification models.

Robert H. Bell Jr., Mátyás A. Sustik, David W. Cummings, Jonathan R. Jackson

Proceedings of the ICPE'11, 2011

Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation.

Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Robust partitioning for hardware-accelerated functional verification.

Michael D. Moffitt, Mátyás A. Sustik, Paul G. Villarrubia

Proceedings of the 48th Design Automation Conference, 2011

2009

Low-Rank Kernel Learning with Bregman Matrix Divergences.

Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon

J. Mach. Learn. Res., 2009

2006

Learning low-rank kernel matrices.

Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon

Proceedings of the Machine Learning, 2006

2005

Generalized Finite Algorithms for Constructing Hermitian Matrices with Prescribed Diagonal and Spectrum.

Inderjit S. Dhillon, Robert W. Heath Jr., Mátyás A. Sustik, Joel A. Tropp

SIAM J. Matrix Anal. Appl., 2005