30 citations · 51 across the 5 of their papers we have counts for
5 papers
Learning Fair Representations for Kernel Models
Zilong Tan, Samuel Yeom, Matt Fredrikson +1
Fair representations are a powerful tool for establishing criteria like statistical parity, proxy non-discrimination, and equality of opportunity in learned models. Existing techni…
Scalable Algorithms for Learning High-Dimensional Linear Mixed Models
Zilong Tan, Kimberly Roche, Xiang Zhou +1
Linear mixed models (LMMs) are used extensively to model dependecies of observations in linear regression and are used extensively in many application areas. Parameter estimation f…
Learning Integral Representations of Gaussian Processes
Zilong Tan, Sayan Mukherjee
We propose a representation of Gaussian processes (GPs) based on powers of the integral operator defined by a kernel function, we call these stochastic processes integral Gaussian…
Efficient Learning of Mixed Membership Models
Zilong Tan, Sayan Mukherjee
We present an efficient algorithm for learning mixed membership models when the number of variables is much larger than the number of hidden components . This algorithm redu…
Tempo: Robust and Self-Tuning Resource Management in Multi-tenant Parallel Databases
Zilong Tan, Shivnath Babu
Multi-tenant database systems have a component called the Resource Manager, or RM that is responsible for allocating resources to tenants. RMs today do not provide direct support f…