Kolar ML Lab
Kolar ML Lab
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Provably training overparameterized neural network classifiers with non-convex constraints
You-Lin Chen
,
Zhaoran Wang
,
Mladen Kolar
Local AdaGrad-type algorithm for stochastic convex-concave optimization
Luofeng Liao
,
Li Shen
,
Jia Duan
,
Mladen Kolar
,
Dacheng Tao
An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangians
Sen Na
,
Mihai Anitescu
,
Mladen Kolar
A Nonconvex Framework for Structured Dynamic Covariance Recovery
Katherine Tsai
,
Mladen Kolar
,
Oluwasanmi Koyejo
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting
Boxin Zhao
,
Y. Samuel Wang
,
Mladen Kolar
Joint Gaussian Graphical Model Estimation: A Survey
Katherine Tsai
,
Oluwasanmi Koyejo
,
Mladen Kolar
Inference for high-dimensional varying-coefficient quantile regression
Ran Dai
,
Mladen Kolar
Two-sample inference for high-dimensional Markov networks
Byol Kim
,
Song Liu
,
Mladen Kolar
Estimating differential latent variable graphical models with applications to brain connectivity
Sen Na
,
Mladen Kolar
,
Oluwasanmi Koyejo
High-dimensional Index Volatility Models via Stein's Identity
Sen Na
,
Mladen Kolar
»
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