Mátyás A. Sustik

15 papers A* 3B 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2021 J jnl
Elasticity Based Demand Forecasting and Price Optimization for Online Retail.
CoRR
Chengcheng Liu, Mátyás A. Sustik
2019 A* conf
Anomaly Detection for an E-commerce Pricing System.
KDD
Jagdish Ramakrishnan, Elham Shaabani, Chao Li, Mátyás A. Sustik
2019 J jnl
Anomaly Detection for an E-commerce Pricing System.
CoRR
Jagdish Ramakrishnan, Elham Shaabani, Chao Li, Mátyás A. Sustik
2014 J jnl
QUIC: quadratic approximation for sparse inverse covariance estimation.
J. Mach. Learn. Res.
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar
2013 — conf
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables.
NIPS
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar, Russell A. Poldrack
2013 J jnl
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation.
CoRR
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar
2012 J jnl
On a Zero-Finding Problem Involving the Matrix Exponential.
SIAM J. Matrix Anal. Appl.
Mátyás A. Sustik, Inderjit S. Dhillon
2012 — conf
Sparse Approximate Manifolds for Differential Geometric MCMC.
NIPS
Ben Calderhead, Mátyás A. Sustik
2012 — conf
Sparse inverse covariance matrix estimation using quadratic approximation.
MLSLP
Inderjit S. Dhillon, Cho-Jui Hsieh, Mátyás A. Sustik, Pradeep Ravikumar
2011 B conf
Automatic performance model synthesis from hardware verification models.
ICPE
Robert H. Bell Jr., Mátyás A. Sustik, David W. Cummings, Jonathan R. Jackson
2011 A* conf
Robust partitioning for hardware-accelerated functional verification.
DAC
Michael D. Moffitt, Mátyás A. Sustik, Paul G. Villarrubia
2011 — conf
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation.
NIPS
Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar
2009 J jnl
Low-Rank Kernel Learning with Bregman Matrix Divergences.
J. Mach. Learn. Res.
Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon
2006 A* conf
Learning low-rank kernel matrices.
ICML
Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon
2005 J jnl
Generalized Finite Algorithms for Constructing Hermitian Matrices with Prescribed Diagonal and Spectrum.
SIAM J. Matrix Anal. Appl.
Inderjit S. Dhillon, Robert W. Heath Jr., Mátyás A. Sustik, Joel A. Tropp