17 citations · 42 across the 5 of their papers we have counts for
7 papers
Understanding and Mitigating Training Instability in Large-Scale Recommender Systems: A Cascade Perspective
Yuening Li, Zeyu Wang, Zhen Zhang +8
Training large-scale recommender systems on dynamic industrial platforms, such as Short-Form Video (SFV) services with billions of daily interactions, faces critical stability chal…
Soft Curriculum Learning for Optimizing Fresh and Generalized Recommendations
Arnab Bhadury, Siyan Zheng, Anlan Yu +6
Large-scale recommender systems, particularly short-form video platforms, are often bottlenecked by massive popularity feedback loops. In such environments, as models recommend pop…
Lambda Learner: Fast Incremental Learning on Data Streams
Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee +5
One of the most well-established applications of machine learning is in deciding what content to show website visitors. When observation data comes from high-velocity, user-generat…
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
Sang-Yun Oh, Onkar Dalal, Kshitij Khare +1
Sparse high dimensional graphical model selection is a popular topic in contemporary machine learning. To this end, various useful approaches have been proposed in the context of $…
G-AMA: Sparse Gaussian graphical model estimation via alternating minimization
Onkar Dalal, Bala Rajaratnam
Several methods have been recently proposed for estimating sparse Gaussian graphical models using regularization on the inverse covariance matrix. Despite recent advance…
Lasso Regression: Estimation and Shrinkage via Limit of Gibbs Sampling
Bala Rajaratnam, Steven Roberts, Doug Sparks +1
The application of the lasso is espoused in high-dimensional settings where only a small number of the regression coefficients are believed to be nonzero. Moreover, statistical pro…
Existence of Positive Steady States for Mass Conserving and Mass-Action Chemical Reaction Networks with a Single Terminal-Linkage Class
Santiago Akle, Onkar Dalal, Ronan M. T. Fleming +3
We establish that mass conserving single terminal-linkage networks of chemical reactions admit positive steady states regardless of network deficiency and the choice of reaction ra…