| 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 | 244 | 2014 |
| Sobolev gan Y Mroueh, CL Li, T Sercu, A Raj, Y Cheng arXiv preprint arXiv:1711.04894, 2017 | 140 | 2017 |
| Dual instrumental variable regression K Muandet, A Mehrjou, SK Lee, A Raj Advances in Neural Information Processing Systems 33, 2710-2721, 2020 | 74 | 2020 |
| Subspace alignment based domain adaptation for rcnn detector A Raj, VP Namboodiri, T Tuytelaars 26th British Machine Vision Conference, 2015 | 70 | 2015 |
| Safe Adaptive Importance Sampling SU Stich, A Raj, M Jaggi Advances in Neural Information Processing Systems 30 (NIPS 2017) (arXiv …, 2017 | 57 | 2017 |
| Sobolev descent Y Mroueh, T Sercu, A Raj The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 38 | 2019 |
| Stochastic stein discrepancies J Gorham, A Raj, L Mackey Advances in Neural Information Processing Systems 33, 17931-17942, 2020 | 34 | 2020 |
| 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 | 34 | 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 | 27 | 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 | 25 | 2018 |
| Screening rules for convex problems A Raj, J Olbrich, B Gärtner, B Schölkopf, M Jaggi arXiv preprint arXiv:1609.07478, 2016 | 25 | 2016 |
| Approximate Steepest Coordinate Descent SU Stich, A Raj, M Jaggi 34h International Conference on Machine Learning (ICML 2017), 2017 | 18 | 2017 |
| Convergence of uncertainty sampling for active learning A Raj, F Bach International Conference on Machine Learning, 18310-18331, 2022 | 16 | 2022 |
| Causal feature selection via orthogonal search A Soleymani*, A Raj*, S Bauer, B Schölkopf, M Besserve arXiv preprint arXiv:2007.02938, 2020 | 10 | 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 | 10 | 2019 |
| Explicit regularization in overparametrized models via noise injection A Orvieto*, A Raj*, H Kersting*, F Bach International Conference on Artificial Intelligence and Statistics, 7265-7287, 2023 | 9 | 2023 |
| Algorithmic stability of heavy-tailed SGD with general loss functions A Raj, L Zhu, M Gurbuzbalaban, U Simsekli International Conference on Machine Learning, 28578-28597, 2023 | 8 | 2023 |
| Algorithmic stability of heavy-tailed stochastic gradient descent on least squares A Raj, M Barsbey, M Gurbuzbalaban, L Zhu, U Şim International Conference on Algorithmic Learning Theory, 1292-1342, 2023 | 8 | 2023 |
| k-SVRG: Variance Reduction for Large Scale Optimization A Raj, SU Stich arXiv preprint arXiv:1805.00982, 2018 | 8* | 2018 |
| Importance sampling via local sensitivity A Raj, C Musco, L Mackey International Conference on Artificial Intelligence and Statistics, 3099-3109, 2020 | 7 | 2020 |
Sebastian Urban StichCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
