default search action
Dheeraj Nagaraj
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j2]Ramnath Kumar, Dheeraj Mysore Nagaraj:
Introspective Experience Replay: Look Back When Surprised. Trans. Mach. Learn. Res. 2024 (2024) - [c19]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards Zero Shot Learning in Restless Multi-armed Bandits. AAMAS 2024: 2618-2620 - [i25]Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe:
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. CoRR abs/2402.14807 (2024) - [i24]Harshit Varma, Dheeraj Nagaraj, Karthikeyan Shanmugam:
Glauber Generative Model: Discrete Diffusion Models via Binary Classification. CoRR abs/2405.17035 (2024) - [i23]Saravanan Kandasamy, Dheeraj Nagaraj:
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models. CoRR abs/2405.17068 (2024) - [i22]Yunfan Zhao, Tonghan Wang, Dheeraj Nagaraj, Aparna Taneja, Milind Tambe:
The Bandit Whisperer: Communication Learning for Restless Bandits. CoRR abs/2408.05686 (2024) - 2023
- [c18]Gandharv Patil, Prashanth L. A., Dheeraj Nagaraj, Doina Precup:
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation. AISTATS 2023: 5438-5448 - [c17]Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe:
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits. AAMAS 2023: 1294-1302 - [c16]Aniket Das, Dheeraj M. Nagaraj, Praneeth Netrapalli, Dheeraj Baby:
Near Optimal Heteroscedastic Regression with Symbiotic Learning. COLT 2023: 3696-3757 - [c15]Aniket Das, Dheeraj M. Nagaraj, Anant Raj:
Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms. COLT 2023: 4072-4129 - [c14]Dheeraj Mysore Nagaraj, Suhas S. Kowshik, Naman Agarwal, Praneeth Netrapalli, Prateek Jain:
Multi-User Reinforcement Learning with Low Rank Rewards. ICML 2023: 25627-25659 - [c13]Aniket Das, Dheeraj Nagaraj:
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation. NeurIPS 2023 - [i21]Aniket Das, Dheeraj Nagaraj:
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation. CoRR abs/2305.17558 (2023) - [i20]Ramnath Kumar, Kushal Majmundar, Dheeraj Nagaraj, Arun Sai Suggala:
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization. CoRR abs/2306.09222 (2023) - [i19]Dheeraj Baby, Aniket Das, Dheeraj Nagaraj, Praneeth Netrapalli:
Near Optimal Heteroscedastic Regression with Symbiotic Learning. CoRR abs/2306.14288 (2023) - [i18]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards Zero Shot Learning in Restless Multi-armed Bandits. CoRR abs/2310.14526 (2023) - 2022
- [b1]Dheeraj M. Nagaraj:
Expressivity and Structure in Networks: Ising Models, Random Graphs, and Neural Networks. Massachusetts Institute of Technology, USA, 2022 - [c12]Naman Agarwal, Syomantak Chaudhuri, Prateek Jain, Dheeraj Mysore Nagaraj, Praneeth Netrapalli:
Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs. ICLR 2022 - [i17]Ramnath Kumar, Dheeraj Nagaraj:
Look Back When Surprised: Stabilizing Reverse Experience Replay for Neural Approximation. CoRR abs/2206.03171 (2022) - [i16]Dheeraj Nagaraj:
Entropic Convergence of Random Batch Methods for Interacting Particle Diffusion. CoRR abs/2206.03792 (2022) - [i15]Naman Agarwal, Prateek Jain, Suhas S. Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli:
Multi-User Reinforcement Learning with Low Rank Rewards. CoRR abs/2210.05355 (2022) - [i14]Gandharv Patil, Prashanth L. A., Dheeraj Nagaraj, Doina Precup:
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation. CoRR abs/2210.05918 (2022) - [i13]Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe:
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits. CoRR abs/2211.00112 (2022) - 2021
- [j1]Prateek Jain, Dheeraj M. Nagaraj, Praneeth Netrapalli:
Making the Last Iterate of SGD Information Theoretically Optimal. SIAM J. Optim. 31(2): 1108-1130 (2021) - [c11]Sébastien Bubeck, Yuanzhi Li, Dheeraj M. Nagaraj:
A Law of Robustness for Two-Layers Neural Networks. COLT 2021: 804-820 - [c10]Suhas S. Kowshik, Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli:
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems. NeurIPS 2021: 8518-8531 - [c9]Emmanuel Abbe, Enric Boix-Adserà, Matthew S. Brennan, Guy Bresler, Dheeraj Nagaraj:
The staircase property: How hierarchical structure can guide deep learning. NeurIPS 2021: 26989-27002 - [c8]Prateek Jain, Suhas S. Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli:
Streaming Linear System Identification with Reverse Experience Replay. NeurIPS 2021: 30140-30152 - [i12]Prateek Jain, Suhas S. Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli:
Streaming Linear System Identification with Reverse Experience Replay. CoRR abs/2103.05896 (2021) - [i11]Prateek Jain, Suhas S. Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli:
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems. CoRR abs/2105.11558 (2021) - [i10]Emmanuel Abbe, Enric Boix-Adserà, Matthew S. Brennan, Guy Bresler, Dheeraj Nagaraj:
The staircase property: How hierarchical structure can guide deep learning. CoRR abs/2108.10573 (2021) - [i9]Naman Agarwal, Syomantak Chaudhuri, Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli:
Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs. CoRR abs/2110.08440 (2021) - 2020
- [c7]Guy Bresler, Dheeraj Nagaraj:
A Corrective View of Neural Networks: Representation, Memorization and Learning. COLT 2020: 848-901 - [c6]Guy Bresler, Dheeraj Nagaraj:
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth. NeurIPS 2020 - [c5]Dheeraj Nagaraj, Xian Wu, Guy Bresler, Prateek Jain, Praneeth Netrapalli:
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms. NeurIPS 2020 - [i8]Guy Bresler, Dheeraj Nagaraj:
A Corrective View of Neural Networks: Representation, Memorization and Learning. CoRR abs/2002.00274 (2020) - [i7]Guy Bresler, Dheeraj Nagaraj:
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth. CoRR abs/2006.04048 (2020) - [i6]Guy Bresler, Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli, Xian Wu:
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms. CoRR abs/2006.08916 (2020) - [i5]Sébastien Bubeck, Yuanzhi Li, Dheeraj Nagaraj:
A law of robustness for two-layers neural networks. CoRR abs/2009.14444 (2020)
2010 – 2019
- 2019
- [c4]Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli:
Making the Last Iterate of SGD Information Theoretically Optimal. COLT 2019: 1752-1755 - [c3]Rong Ge, Prateek Jain, Sham M. Kakade, Rahul Kidambi, Dheeraj M. Nagaraj, Praneeth Netrapalli:
Open Problem: Do Good Algorithms Necessarily Query Bad Points? COLT 2019: 3190-3193 - [c2]Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli:
SGD without Replacement: Sharper Rates for General Smooth Convex Functions. ICML 2019: 4703-4711 - [i4]Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli:
SGD without Replacement: Sharper Rates for General Smooth Convex Functions. CoRR abs/1903.01463 (2019) - [i3]Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli:
Making the Last Iterate of SGD Information Theoretically Optimal. CoRR abs/1904.12443 (2019) - [i2]Matthew S. Brennan, Guy Bresler, Dheeraj Nagaraj:
Phase Transitions for Detecting Latent Geometry in Random Graphs. CoRR abs/1910.14167 (2019) - 2018
- [c1]Guy Bresler, Dheeraj Nagaraj:
Optimal Single Sample Tests for Structured versus Unstructured Network Data. COLT 2018: 1657-1690 - [i1]Guy Bresler, Dheeraj Nagaraj:
Optimal Single Sample Tests for Structured versus Unstructured Network Data. CoRR abs/1802.06186 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-18 23:43 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint