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Non-stationary Online Regression


Nov 13, 2020
Anant Raj, Pierre Gaillard, Christophe Saad


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Model-specific Data Subsampling with Influence Functions


Oct 20, 2020
Anant Raj, Cameron Musco, Lester Mackey, Nicolo Fusi


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Stochastic Stein Discrepancies


Jul 06, 2020
Jackson Gorham, Anant Raj, Lester Mackey


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Causal Feature Selection via Orthogonal Search


Jul 06, 2020
Anant Raj, Stefan Bauer, Ashkan Soleymani, Michel Besserve, Bernhard Schölkopf


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Explicit Regularization of Stochastic Gradient Methods through Duality


Mar 30, 2020
Anant Raj, Francis Bach


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Importance Sampling via Local Sensitivity


Nov 04, 2019
Anant Raj, Cameron Musco, Lester Mackey


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Dual IV: A Single Stage Instrumental Variable Regression


Oct 27, 2019
Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj


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Orthogonal Structure Search for Efficient Causal Discovery from Observational Data


Mar 06, 2019
Anant Raj, Luigi Gresele, Michel Besserve, Bernhard Schölkopf, Stefan Bauer


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k-SVRG: Variance Reduction for Large Scale Optimization


Oct 16, 2018
Anant Raj, Sebastian U. Stich

* The title of the previous version of the manuscript was "SVRG meets SAGA: k-SVRG A Tale of Limited Memory" 

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A Differentially Private Kernel Two-Sample Test


Aug 01, 2018
Anant Raj, Ho Chung Leon Law, Dino Sejdinovic, Mijung Park


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On Matching Pursuit and Coordinate Descent


Jul 02, 2018
Francesco Locatello, Anant Raj, Sai Praneeth Karimireddy, Gunnar RÀtsch, Bernhard Schölkopf, Sebastian U. Stich, Martin Jaggi

* ICML 2018 - Proceedings of the 35th International Conference on Machine Learning 

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Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport


May 30, 2018
Youssef Mroueh, Tom Sercu, Anant Raj


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Sobolev GAN


Nov 14, 2017
Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng


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Safe Adaptive Importance Sampling


Nov 07, 2017
Sebastian U. Stich, Anant Raj, Martin Jaggi

* To appear at NIPS 2017 

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Approximate Steepest Coordinate Descent


Jun 26, 2017
Sebastian U. Stich, Anant Raj, Martin Jaggi

* appearing at ICML 2017 

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Local Group Invariant Representations via Orbit Embeddings


May 24, 2017
Anant Raj, Abhishek Kumar, Youssef Mroueh, P. Thomas Fletcher, Bernhard Schölkopf

* AISTATS 2017 accepted version including appendix, 18 pages, 1 figure 

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Screening Rules for Convex Problems


Sep 23, 2016
Anant Raj, Jakob Olbrich, Bernd GÀrtner, Bernhard Schölkopf, Martin Jaggi


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Unsupervised Domain Adaptation in the Wild: Dealing with Asymmetric Label Sets


Mar 26, 2016
Ayush Mittal, Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars

* supplementary material: http://home.iitk.ac.in/~ayushmi/supplementary-material-unsupervised.pdf 

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Scalable Kernel Methods via Doubly Stochastic Gradients


Sep 10, 2015
Bo Dai, Bo Xie, Niao He, Yingyu Liang, Anant Raj, Maria-Florina Balcan, Le Song

* 32 pages, 22 figures 

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Subspace Alignment Based Domain Adaptation for RCNN Detector


Jul 20, 2015
Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars

* 26th British Machine Vision Conference, Swansea, UK 

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Mind the Gap: Subspace based Hierarchical Domain Adaptation


Jan 16, 2015
Anant Raj, Vinay P. Namboodiri, Tinne Tuytelaars

* 4 pages in Second Workshop on Transfer and Multi-Task Learning: Theory meets Practice in NIPS 2014 

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