| 2023 | WSC | Stochastic Adaptive Regularization Method with Cubics: a High Probability Complexity Bound. | Katya Scheinberg, Miaolan Xie |
| 2022 | ICML | Nesterov Accelerated Shuffling Gradient Method for Convex Optimization. | Trang H. Tran, Katya Scheinberg, Lam M. Nguyen |
| 2018 | ICML | SGD and Hogwild! Convergence Without the Bounded Gradients Assumption. | Lam M. Nguyen, Phuong Ha Nguyen, Marten van Dijk, Peter Richtrik, Katya Scheinberg, Martin Takc |
| 2017 | AAAI | An Empirical Analysis of Constrained Support Vector Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power. | Kostas Hatalis, Shalinee Kishore, Katya Scheinberg, Alberto J. Lamadrid |
| 2017 | ICDM | A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization. | Dzung T. Phan, Tsuyoshi Id, Jayant Kalagnanam, Matt Menickelly, Katya Scheinberg |
| 2017 | ICML | SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient. | Lam M. Nguyen, Jie Liu, Katya Scheinberg, Martin Takc |
| 2010 | ISAIM | Sparse Markov net learning with priors on regularization parameters. | Katya Scheinberg, Irina Rish, Narges Bani Asadi |
| 2009 | ICASSP | Map approach to learning sparse Gaussian Markov networks. | Narges Bani Asadi, Irina Rish, Katya Scheinberg, Dimitri Kanevsky, Bhuvana Ramabhadran |