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Dheeraj Nagaraj
Dheeraj Nagaraj
Research Scientist, Google
Bestätigte E-Mail-Adresse bei google.com - Startseite
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Zitiert von
Zitiert von
Jahr
Making the last iterate of sgd information theoretically optimal
P Jain, D Nagaraj, P Netrapalli
Conference on Learning Theory, 1752-1755, 2019
972019
SGD without Replacement: Sharper Rates for General Smooth Convex Functions
D Nagaraj, P Jain, P Netrapalli
International Conference on Machine Learning, 4703-4711, 2019
86*2019
Least squares regression with markovian data: Fundamental limits and algorithms
D Nagaraj, X Wu, G Bresler, P Jain, P Netrapalli
Advances in neural information processing systems 33, 16666-16676, 2020
582020
A law of robustness for two-layers neural networks
S Bubeck, Y Li, DM Nagaraj
Conference on Learning Theory, 804-820, 2021
562021
The staircase property: How hierarchical structure can guide deep learning
E Abbe, E Boix-Adsera, MS Brennan, G Bresler, D Nagaraj
Advances in Neural Information Processing Systems 34, 26989-27002, 2021
552021
Phase transitions for detecting latent geometry in random graphs
M Brennan, G Bresler, D Nagaraj
Probability Theory and Related Fields 178 (3), 1215-1289, 2020
372020
Optimal Single Sample Tests for Structured versus Unstructured Network Data
G Bresler, D Nagaraj
arXiv preprint arXiv:1802.06186, 2018
302018
Stein’s method for stationary distributions of Markov chains and application to Ising models
G Bresler, D Nagaraj
292019
Near-optimal offline and streaming algorithms for learning non-linear dynamical systems
S Kowshik, D Nagaraj, P Jain, P Netrapalli
Advances in Neural Information Processing Systems 34, 8518-8531, 2021
252021
Online target q-learning with reverse experience replay: Efficiently finding the optimal policy for linear mdps
N Agarwal, S Chaudhuri, P Jain, D Nagaraj, P Netrapalli
arXiv preprint arXiv:2110.08440, 2021
232021
Sharp representation theorems for relu networks with precise dependence on depth
G Bresler, D Nagaraj
Advances in Neural Information Processing Systems 33, 10697-10706, 2020
232020
Continuous limit of discrete quantum walks
D MN, TA Brun
Physical Review A 91 (6), 062304, 2015
212015
Streaming linear system identification with reverse experience replay
S Kowshik, D Nagaraj, P Jain, P Netrapalli
Advances in Neural Information Processing Systems 34, 30140-30152, 2021
202021
A corrective view of neural networks: Representation, memorization and learning
G Bresler, D Nagaraj
Conference on Learning Theory, 848-901, 2020
182020
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularization
D Nagaraj, D Precup, G Patil, LA Prashanth
14*2023
Indexability is not enough for whittle: Improved, near-optimal algorithms for restless bandits
A Ghosh, D Nagaraj, M Jain, M Tambe
arXiv preprint arXiv:2211.00112, 2022
72022
Provably fast finite particle variants of svgd via virtual particle stochastic approximation
A Das, D Nagaraj
Advances in Neural Information Processing Systems 36, 49748-49760, 2023
62023
Stochastic re-weighted gradient descent via distributionally robust optimization
R Kumar, K Majmundar, D Nagaraj, AS Suggala
arXiv preprint arXiv:2306.09222, 2023
62023
Utilising the clt structure in stochastic gradient based sampling: Improved analysis and faster algorithms
A Das, DM Nagaraj, A Raj
The Thirty Sixth Annual Conference on Learning Theory, 4072-4129, 2023
42023
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
32019
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