Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
- Trang H. Tran
- Katya Scheinberg
- et al.
- 2022
- ICML 2022
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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30 results for Katya Scheinberg
SGD and Hogwild! Convergence without the bounded gradients assumption
- Lam Nguyen
- Phuong Ha Nguyen
- et al.
- 2018
- ICML 2018
Incremental learning and selective sampling via parametric optimization framework for SVM
- Shai Fine
- Katya Scheinberg
- 2001
- NeurIPS 2001
Stochastic FISTA Step Search Algorithm for Convex Optimization
- Trang H. Tran
- Lam Nguyen
- et al.
- 2023
- NeurIPS 2023
A novel l0-constrained gaussian graphical model for anomaly localization
- Dzung T. Phan
- Tsuyoshi Idé
- et al.
- 2017
- ICDMW 2017
Sparse Markov Net learning with priors on regularization parameters
- Katya Scheinberg
- Irina Rish
- et al.
- 2010
- ISAIM 2010
A map approach to learning sparse Gaussian Markov networks
- N. Bani Asadi
- I. Rish
- et al.
- 2009
- ICASSP 2009
Intensive optimization of masks and sources for 22nm lithography
- Alan E. Rosenbluth
- David O. Melville
- et al.
- 2009
- SPIE Advanced Lithography 2009
Assisted seismic matching: Joint inversion of seismic, rock physics and basin modeling
- 2007
- SEG 2007
Rock physics and depositional history from seismic matching - A model study
- S.A. Levin
- U.T. Mello
- et al.
- 2007
- EAGEC 2007