Seuraa
Ronak Mehta
Ronak Mehta
Ph.D. Student, University of Washington
Vahvistettu sähköpostiosoite verkkotunnuksessa uw.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Towards a theory of out-of-distribution learning
J Dey, A Geisa, R Mehta, TM Tomita, HS Helm, H Xu, E Eaton, J Dick, ...
arXiv preprint arXiv:2109.14501, 2021
182021
hyppo: A multivariate hypothesis testing Python package
S Panda, S Palaniappan, J Xiong, EW Bridgeford, R Mehta, C Shen, ...
arXiv preprint arXiv:1907.02088, 2019
172019
Stochastic optimization for spectral risk measures
R Mehta, V Roulet, K Pillutla, L Liu, Z Harchaoui
International Conference on Artificial Intelligence and Statistics, 10112-10159, 2023
122023
Representation ensembling for synergistic lifelong learning with quasilinear complexity
JT Vogelstein, J Dey, HS Helm, W LeVine, RD Mehta, TM Tomita, H Xu, ...
Preprint at https://arxiv. org/abs/2004.12908, 2020
82020
A general approach to progressive learning
JT Vogelstein, HS Helm, RD Mehta, J Dey, W Yang, B Tower, W LeVine, ...
Preprint at https://arxiv. org/abs/2004.12908, 2020
72020
Distributionally robust optimization with bias and variance reduction
R Mehta, V Roulet, K Pillutla, Z Harchaoui
arXiv preprint arXiv:2310.13863, 2023
62023
Random forests for adaptive nearest neighbor estimation of information-theoretic quantities
R Perry, R Mehta, R Guo, E Yezerets, J Arroyo, M Powell, H Helm, C Shen, ...
arXiv preprint arXiv:1907.00325, 2019
6*2019
Manifold forests: closing the gap on neural networks
R Perry, TM Tomita, J Patsolic, B Falk, J Vogelstein
62019
Manifold oblique random forests: Towards closing the gap on convolutional deep networks
A Li, R Perry, C Huynh, TM Tomita, R Mehta, J Arroyo, J Patsolic, B Falk, ...
SIAM Journal on Mathematics of Data Science 5 (1), 77-96, 2023
5*2023
Independence testing for temporal data
C Shen, J Chung, R Mehta, T Xu, JT Vogelstein
arXiv preprint arXiv:1908.06486, 2019
52019
Estimating informationtheoretic quantities with random forests
R Mehta, R Guo, C Shen, J Vogelstein
arXiv preprint arXiv:1907.00325, 2019
52019
A partition-based similarity for classification distributions
HS Helm, RD Mehta, B Duderstadt, W Yang, CM White, A Geisa, ...
arXiv preprint arXiv:2011.06557, 2020
42020
A consistent independence test for multivariate timeseries
R Mehta, C Shen, T Xu, JT Vogelstein
arXiv preprint arXiv:1908.06486, 2019
32019
Omnidirectional transfer for quasilinear lifelong learning
JT Vogelstein, J Dey, HS Helm, W LeVine, RD Mehta, A Geisa, H Xu, ...
arXiv preprint arXiv:2004.12908, 2020
22020
Independence testing for multivariate time series
R Mehta, J Chung, C Shen, T Xu, JT Vogelstein
arXiv e-prints, arXiv: 1908.06486, 2019
22019
A Primal-Dual Algorithm for Faster Distributionally Robust Optimization
R Mehta, J Diakonikolas, Z Harchaoui
arXiv preprint arXiv:2403.10763, 2024
12024
DRAGO: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
R Mehta, J Diakonikolas, Z Harchaoui
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
12024
Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty
M Agarwal, K Rafiq, R Mehta, B Abrahms, Z Harchaoui
bioRxiv, 2024.12. 28.630628, 2024
2024
The Benefits of Balance: From Information Projections to Variance Reduction
L Liu, R Mehta, S Pal, Z Harchaoui
arXiv preprint arXiv:2408.15065, 2024
2024
Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity
J Dey, J Vogelstein, H Helm, W Levine, R Mehta, A Geisa, H Xu, ...
2022
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20