69 citations · 155 across the 28 of their papers we have counts for
5 papers · 1 filter
Non-stationary Online Regression
Anant Raj, Pierre Gaillard, Christophe Saad
Online forecasting under a changing environment has been a problem of increasing importance in many real-world applications. In this paper, we consider the meta-algorithm presented…
Model-specific Data Subsampling with Influence Functions
Anant Raj, Cameron Musco, Lester Mackey +1
Model selection requires repeatedly evaluating models on a given dataset and measuring their relative performances. In modern applications of machine learning, the models being con…
Causal Feature Selection via Orthogonal Search
Ashkan Soleymani, Anant Raj, Stefan Bauer +2
The problem of inferring the direct causal parents of a response variable among a large set of explanatory variables is of high practical importance in many disciplines. However, e…
Stochastic Stein Discrepancies
Jackson Gorham, Anant Raj, Lester Mackey
Stein discrepancies (SDs) monitor convergence and non-convergence in approximate inference when exact integration and sampling are intractable. However, the computation of a Stein…
Explicit Regularization of Stochastic Gradient Methods through Duality
Anant Raj, Francis Bach
We consider stochastic gradient methods under the interpolation regime where a perfect fit can be obtained (minimum loss at each observation). While previous work highlighted the i…