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Parameswaran Kamalaruban
Parameswaran Kamalaruban
The Alan Turing Institute
Verified email at turing.ac.uk - Homepage
Title
Cited by
Cited by
Year
Consistent robust regression
K Bhatia, P Jain, P Kamalaruban, P Kar
Advances in Neural Information Processing Systems 30, 2017
762017
Applications of reinforcement learning in energy systems
ATD Perera, P Kamalaruban
Renewable and Sustainable Energy Reviews 137, 110618, 2021
652021
Optimization for reinforcement learning: From a single agent to cooperative agents
D Lee, N He, P Kamalaruban, V Cevher
IEEE Signal Processing Magazine 37 (3), 123-135, 2020
522020
Interactive teaching algorithms for inverse reinforcement learning
P Kamalaruban, R Devidze, V Cevher, A Singla
arXiv preprint arXiv:1905.11867, 2019
452019
Robust reinforcement learning via adversarial training with langevin dynamics
P Kamalaruban, YT Huang, YP Hsieh, P Rolland, C Shi, V Cevher
arXiv preprint arXiv:2002.06063, 2020
322020
Iterative classroom teaching
T Yeo, P Kamalaruban, A Singla, A Merchant, T Asselborn, L Faucon, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5684-5692, 2019
142019
Automatic number plate recognition in low quality videos
T Ajanthan, P Kamalaruban, R Rodrigo
2013 IEEE 8th International Conference on Industrial and Information Systems …, 2013
122013
Not All Attributes are Created Equal: dX-Private Mechanisms for Linear Queries.
P Kamalaruban, V Perrier, HJ Asghar, MA Kaafar
Proc. Priv. Enhancing Technol. 2020 (1), 103-125, 2020
82020
Exp-concavity of proper composite losses
P Kamalaruban, R Williamson, X Zhang
Conference on Learning Theory, 1035-1065, 2015
72015
Robust inverse reinforcement learning under transition dynamics mismatch
L Viano, YT Huang, P Kamalaruban, A Weller, V Cevher
Advances in Neural Information Processing Systems 34, 25917-25931, 2021
62021
Explicable reward design for reinforcement learning agents
R Devidze, G Radanovic, P Kamalaruban, A Singla
Advances in Neural Information Processing Systems 34, 20118-20131, 2021
52021
Environment Shaping in Reinforcement Learning using State Abstraction
P Kamalaruban, R Devidze, V Cevher, A Singla
arXiv preprint arXiv:2006.13160, 2020
42020
Improved optimistic mirror descent for sparsity and curvature
P Kamalaruban
arXiv preprint arXiv:1609.02383, 2016
42016
Vector quantization, density estimation and outlier detection on cricket dataset
K Parameswaran
2013 International Conference on Computer Communication and Informatics, 1-5, 2013
42013
Interaction-limited inverse reinforcement learning
M Troussard, E Pignat, P Kamalaruban, S Calinon, V Cevher
arXiv preprint arXiv:2007.00425, 2020
32020
Robust learning from observation with model misspecification
L Viano, YT Huang, P Kamalaruban, C Innes, S Ramamoorthy, A Weller
arXiv preprint arXiv:2202.06003, 2022
22022
Minimax lower bounds for cost sensitive classification
P Kamalaruban, RC Williamson
arXiv preprint arXiv:1805.07723, 2018
12018
Transitions, losses, and re-parameterizations: Elements of prediction games
P Kamalaruban
arXiv preprint arXiv:1805.08622, 2018
12018
Curriculum Design for Teaching via Demonstrations: Theory and Applications
G Yengera, R Devidze, P Kamalaruban, A Singla
Advances in Neural Information Processing Systems 34, 10496-10509, 2021
2021
Provable Defense Against Clustering Attacks on 3D Point Clouds
DD Denipitiyage, T Ajanthan, P Kamalaruban, A Weller
The AAAI-22 Workshop on Adversarial Machine Learning and Beyond, 2021
2021
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