Dheeraj Nagaraj
Dheeraj Nagaraj
Graduate Student, MIT
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα mit.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Making the last iterate of sgd information theoretically optimal
P Jain, D Nagaraj, P Netrapalli
arXiv preprint arXiv:1904.12443, 2019
192019
SGD without Replacement: Sharper Rates for General Smooth Convex Functions
D Nagaraj, P Jain, P Netrapalli
International Conference on Machine Learning, 4703-4711, 2019
15*2019
Continuous limit of discrete quantum walks
MN Dheeraj, TA Brun
Physical Review A 91 (6), 062304, 2015
152015
Optimal Single Sample Tests for Structured versus Unstructured Network Data
G Bresler, D Nagaraj
arXiv preprint arXiv:1802.06186, 2018
142018
Stein’s method for stationary distributions of Markov chains and application to Ising models
G Bresler, D Nagaraj
The Annals of Applied Probability 29 (5), 3230-3265, 2019
62019
A corrective view of neural networks: Representation, memorization and learning
G Bresler, D Nagaraj
arXiv preprint arXiv:2002.00274, 2020
42020
Phase transitions for detecting latent geometry in random graphs
M Brennan, G Bresler, D Nagaraj
Probability Theory and Related Fields, 1-75, 2020
32020
Open Problem: Do Good Algorithms Necessarily Query Bad Points?
R Ge, P Jain, SM Kakade, R Kidambi, DM Nagaraj, P Netrapalli
Conference on Learning Theory, 3190-3193, 2019
12019
A law of robustness for two-layers neural networks
S Bubeck, Y Li, D Nagaraj
arXiv preprint arXiv:2009.14444, 2020
2020
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
G Bresler, P Jain, D Nagaraj, P Netrapalli, X Wu
arXiv preprint arXiv:2006.08916, 2020
2020
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth
G Bresler, D Nagaraj
arXiv preprint arXiv:2006.04048, 2020
2020
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