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- Arindam Banerjee — disambiguation page
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Publication search results
found 19 matches
- 2023
- Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Misha Belkin:
Restricted Strong Convexity of Deep Learning Models with Smooth Activations. ICLR 2023 - Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin:
Neural tangent kernel at initialization: linear width suffices. UAI 2023: 110-118 - Mathew Mithra Noel, Arindam Banerjee, Geraldine Bessie Amali:
Alternate Loss Functions Can Improve the Performance of Artificial Neural Networks. CoRR abs/2303.09935 (2023) - Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He:
Neural Exploitation and Exploration of Contextual Bandits. CoRR abs/2305.03784 (2023) - Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio:
AmbientFlow: Invertible generative models from incomplete, noisy measurements. CoRR abs/2309.04856 (2023) - Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee:
Contextual Bandits with Online Neural Regression. CoRR abs/2312.07145 (2023) - 2022
- M. Saravanan, Arindam Banerjee:
Link Establishment in Hierarchical and Decentralized Fog IoT Network. FMEC 2022: 1-8 - Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He:
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. ICLR 2022 - Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. NeurIPS 2022 - Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin:
Restricted Strong Convexity of Deep Learning Models with Smooth Activations. CoRR abs/2209.15106 (2022) - Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He:
Improved Algorithms for Neural Active Learning. CoRR abs/2210.00423 (2022) - 2021
- M. Saravanan, Arindam Banerjee:
A Context-Aware, Decentralized Learning Approach for Fog-based Smart and Connected Community. FiCloud 2021: 26-33 - Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He:
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. CoRR abs/2110.03177 (2021) - 2020
- Sudipta Dutta, Arindam Banerjee, Arup Kumar Roy:
Convergence Prediction of Mobile Nodes for Energy Transaction in 5G Network. 5G World Forum 2020: 19-24 - Rajneesh Tiwari, Aritra Sen, Arindam Banerjee, Kaushik Dey:
Empirical analysis of generalization through augmentation for classifying images of vernacular handwritten texts. IIT 2020: 186-191 - 2016
- Shivashankar Subramanian, Arindam Banerjee:
Poster: Deep Learning Enabled M2M Gateway for Network Optimization. MobiSys (Companion Volume) 2016: 144 - 2014
- N. Ch. S. N. Iyengar, Arindam Banerjee, Gopinath Ganapathy:
A Fuzzy Logic Based Defense Mechanism against Distributed Denial of Services Attack in Cloud Environment. Int. J. Commun. Networks Inf. Secur. 6(3) (2014) - 2005
- Arindam Banerjee, Xin Guo, Hui Wang:
On the optimality of conditional expectation as a Bregman predictor. IEEE Trans. Inf. Theory 51(7): 2664-2669 (2005) - 2004
- Arindam Banerjee, Xin Guo, Hui Wang:
Optimal Bregman prediction and Jensen's equality. ISIT 2004: 169
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