| Scalable kernel methods via doubly stochastic gradients B Dai, B Xie, N He, Y Liang, A Raj, MFF Balcan, L Song Advances in neural information processing systems 27, 2014 | 214 | 2014 |
| Sobolev gan Y Mroueh, CL Li, T Sercu, A Raj, Y Cheng arXiv preprint arXiv:1711.04894, 2017 | 99 | 2017 |
| Subspace alignment based domain adaptation for rcnn detector A Raj, VP Namboodiri, T Tuytelaars 26th British Machine Vision Conference, 2015 | 53 | 2015 |
| Safe Adaptive Importance Sampling SU Stich, A Raj, M Jaggi Advances in Neural Information Processing Systems 30 (NIPS 2017) (arXiv …, 2017 | 38 | 2017 |
| Local Group Invariant Representations via Orbit Embeddings A Raj, A Kumar, Y Mroueh, PT Fletcher, B Schölkopf 20th International Conference on Artificial Intelligence and Statistics …, 2016 | 28 | 2016 |
| Dual instrumental variable regression K Muandet, A Mehrjou, SK Lee, A Raj Advances in Neural Information Processing Systems 33, 2710-2721, 2020 | 22 | 2020 |
| On Matching Pursuit and Coordinate Descent F Locatello, A Raj, SP Reddy, G Rätsch, B Schölkopf, SU Stich, M Jaggi International Conference on Machine Learning (ICML), 2018 | 21 | 2018 |
| Sobolev descent Y Mroueh, T Sercu, A Raj The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 18 | 2019 |
| Approximate Steepest Coordinate Descent SU Stich, A Raj, M Jaggi 34h International Conference on Machine Learning (ICML 2017), 2017 | 17 | 2017 |
| Screening rules for convex problems A Raj, J Olbrich, B Gärtner, B Schölkopf, M Jaggi arXiv preprint arXiv:1609.07478, 2016 | 17 | 2016 |
| A simpler approach to accelerated optimization: iterative averaging meets optimism P Joulani, A Raj, A Gyorgy, C Szepesvári International Conference on Machine Learning, 4984-4993, 2020 | 10 | 2020 |
| Stochastic Stein discrepancies J Gorham, A Raj, L Mackey Advances in Neural Information Processing Systems 33, 17931-17942, 2020 | 9 | 2020 |
| A differentially private kernel two-sample test A Raj, HCL Law, D Sejdinovic, M Park Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 7 | 2019 |
| k-SVRG: Variance Reduction for Large Scale Optimization A Raj, SU Stich arXiv preprint arXiv:1805.00982, 2018 | 6* | 2018 |
| Causal feature selection via orthogonal search A Raj, S Bauer, A Soleymani, M Besserve, B Schölkopf arXiv preprint arXiv:2007.02938, 2020 | 5 | 2020 |
| Mind the Gap: Subspace based Hierarchical Domain Adaptation A Raj, VP Namboodiri, T Tuytelaars Second Workshop on Transfer and Multi-Task Learning: Theory meets Practice …, 2014 | 5 | 2014 |
| Importance sampling via local sensitivity A Raj, C Musco, L Mackey International Conference on Artificial Intelligence and Statistics, 3099-3109, 2020 | 4 | 2020 |
| Explicit Regularization of Stochastic Gradient Methods through Duality A Raj, F Bach International Conference on Artificial Intelligence and Statistics, 1882-1890, 2021 | 2 | 2021 |
| Non-stationary online regression A Raj, P Gaillard, C Saad arXiv preprint arXiv:2011.06957, 2020 | 2 | 2020 |
| Convergence of Uncertainty Sampling for Active Learning A Raj, F Bach arXiv preprint arXiv:2110.15784, 2021 | 1 | 2021 |
Sebastian Urban StichCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
