activity
20142023
most citedScalable Kernel Methods via Doubly Stochastic Gradients

69 citations · 155 across the 28 of their papers we have counts for

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Showing 2019Show all

3 papers · 1 filter

math.OC2019★ 3 cited

Importance Sampling via Local Sensitivity

Anant Raj, Cameron Musco, Lester Mackey

Given a loss function that can be written as the sum of losses over a large set of inputs , it is often desirable to approximate $…

stat.ML2019★ 17 cited

Dual Instrumental Variable Regression

Krikamol Muandet, Arash Mehrjou, Si Kai Lee +1

We present a novel algorithm for non-linear instrumental variable (IV) regression, DualIV, which simplifies traditional two-stage methods via a dual formulation. Inspired by proble…

stat.ML2019

Orthogonal Structure Search for Efficient Causal Discovery from Observational Data

Anant Raj, Luigi Gresele, Michel Besserve +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. Recent wor…