default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDParameswaran Kamalaruban
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c13]Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
Informativeness of Reward Functions in Reinforcement Learning. AAMAS 2024: 444-452- [c12]Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla:
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. ICML 2024 - [c11]Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla:
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. IJCAI 2024: 5027-5036 - [i23]Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic:
Corruption Robust Offline Reinforcement Learning with Human Feedback. CoRR abs/2402.06734 (2024) - [i22]Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
Informativeness of Reward Functions in Reinforcement Learning. CoRR abs/2402.07019 (2024) - [i21]Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla:
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences. CoRR abs/2403.01857 (2024) - [i20]Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla:
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning. CoRR abs/2405.02481 (2024) - [i19]Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic:
Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go. CoRR abs/2407.18414 (2024) - [i18]Parameswaran Kamalaruban, Yulu Pi, Stuart Burrell, Eleanor Drage, Piotr Skalski, Jason Wong, David Sutton:
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges. CoRR abs/2409.04373 (2024) - 2023
- [j3]Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla:
Proximal Curriculum for Reinforcement Learning Agents. Trans. Mach. Learn. Res. 2023 (2023) - [i17]Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban
, Emma Kallina, Adrian Weller, Ameet Talwalkar:
Learning Personalized Decision Support Policies. CoRR abs/2304.06701 (2023) - [i16]Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla:
Proximal Curriculum for Reinforcement Learning Agents. CoRR abs/2304.12877 (2023) - 2022
- [c10]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. AAMAS 2022: 1337-1345 - [c9]Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards. NeurIPS 2022 - [i15]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. CoRR abs/2202.06003 (2022) - 2021
- [c8]Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
Curriculum Design for Teaching via Demonstrations: Theory and Applications. NeurIPS 2021: 10496-10509 - [c7]Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla:
Explicable Reward Design for Reinforcement Learning Agents. NeurIPS 2021: 20118-20131 - [c6]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher:
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. NeurIPS 2021: 25917-25931 - [i14]Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla:
Curriculum Design for Teaching via Demonstrations: Theory and Applications. CoRR abs/2106.04696 (2021) - 2020
- [j2]Parameswaran Kamalaruban, Victor Perrier, Hassan Jameel Asghar, Mohamed Ali Kâafar:
Not All Attributes are Created Equal: dX -Private Mechanisms for Linear Queries. Proc. Priv. Enhancing Technol. 2020(1): 103-125 (2020) - [j1]Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher:
Optimization for Reinforcement Learning: From a single agent to cooperative agents. IEEE Signal Process. Mag. 37(3): 123-135 (2020) - [c5]Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher:
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. NeurIPS 2020 - [i13]Parameswaran Kamalaruban, Yu-Ting Huang, Ya-Ping Hsieh, Paul Rolland, Cheng Shi, Volkan Cevher:
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics. CoRR abs/2002.06063 (2020) - [i12]Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Environment Shaping in Reinforcement Learning using State Abstraction. CoRR abs/2006.13160 (2020) - [i11]Martin Troussard, Emmanuel Pignat, Parameswaran Kamalaruban, Sylvain Calinon, Volkan Cevher:
Interaction-limited Inverse Reinforcement Learning. CoRR abs/2007.00425 (2020) - [i10]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Volkan Cevher:
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. CoRR abs/2007.01174 (2020)
2010 – 2019
- 2019
- [c4]Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher:
Iterative Classroom Teaching. AAAI 2019: 5684-5692 - [c3]Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Interactive Teaching Algorithms for Inverse Reinforcement Learning. IJCAI 2019: 2692-2700 - [i9]Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla:
Interactive Teaching Algorithms for Inverse Reinforcement Learning. CoRR abs/1905.11867 (2019) - [i8]Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher:
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents. CoRR abs/1912.00498 (2019) - 2018
- [i7]Parameswaran Kamalaruban, Robert C. Williamson:
Minimax Lower Bounds for Cost Sensitive Classification. CoRR abs/1805.07723 (2018) - [i6]Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang:
Exp-Concavity of Proper Composite Losses. CoRR abs/1805.07737 (2018) - [i5]Parameswaran Kamalaruban:
Transitions, Losses, and Re-parameterizations: Elements of Prediction Games. CoRR abs/1805.08622 (2018) - [i4]Parameswaran Kamalaruban, Victor Perrier, Hassan Jameel Asghar, Mohamed Ali Kâafar:
dX-Private Mechanisms for Linear Queries. CoRR abs/1806.02389 (2018) - [i3]Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn, Louis Faucon, Pierre Dillenbourg, Volkan Cevher:
Iterative Classroom Teaching. CoRR abs/1811.03537 (2018) - 2017
- [c2]Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar:
Consistent Robust Regression. NIPS 2017: 2110-2119 - 2016
- [i2]Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban, Purushottam Kar:
Efficient and Consistent Robust Time Series Analysis. CoRR abs/1607.00146 (2016) - [i1]Parameswaran Kamalaruban:
Improved Optimistic Mirror Descent for Sparsity and Curvature. CoRR abs/1609.02383 (2016) - 2015
- [c1]Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang:
Exp-Concavity of Proper Composite Losses. COLT 2015: 1035-1065
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 2024-10-21 20:31 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
