Arindam Banerjee

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 18

Top Topics

Aggregating Algorithm

Preference Learning

Exploration Exploitation Tradeoff

Top Venues

Publications

Rohan Deb, Aadirupa Saha, Arindam Banerjee
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources. AISTATS (2024)
Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio
AmbientFlow: Invertible generative models from incomplete, noisy measurements. Trans. Mach. Learn. Res. 2024 (2024)
Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Misha Belkin
Restricted Strong Convexity of Deep Learning Models with Smooth Activations. ICLR (2023)
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
Neural Exploitation and Exploration of Contextual Bandits. CoRR (2023)
Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
Contextual Bandits with Online Neural Regression. CoRR (2023)
Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark A. Anastasio
AmbientFlow: Invertible generative models from incomplete, noisy measurements. CoRR (2023)
Mathew Mithra Noel, Arindam Banerjee, Geraldine Bessie Amali
Alternate Loss Functions Can Improve the Performance of Artificial Neural Networks. CoRR (2023)
Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin
Neural tangent kernel at initialization: linear width suffices. UAI (2023)
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. ICLR (2022)
M. Saravanan, Arindam Banerjee
Link Establishment in Hierarchical and Decentralized Fog IoT Network. FMEC (2022)
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
Improved Algorithms for Neural Active Learning. NeurIPS (2022)
Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
Improved Algorithms for Neural Active Learning. CoRR (2022)
Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin
Restricted Strong Convexity of Deep Learning Models with Smooth Activations. CoRR (2022)
M. Saravanan, Arindam Banerjee
A Context-Aware, Decentralized Learning Approach for Fog-based Smart and Connected Community. FiCloud (2021)
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits. CoRR (2021)
Sudipta Dutta, Arindam Banerjee, Arup Kumar Roy
Convergence Prediction of Mobile Nodes for Energy Transaction in 5G Network. 5G World Forum (2020)
Rajneesh Tiwari, Aritra Sen, Arindam Banerjee, Kaushik Dey
Empirical analysis of generalization through augmentation for classifying images of vernacular handwritten texts. IIT (2020)
Shivashankar Subramanian, Arindam Banerjee
Poster: Deep Learning Enabled M2M Gateway for Network Optimization. MobiSys (Companion Volume) (2016)
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)
Arindam Banerjee, Xin Guo, Hui Wang
On the optimality of conditional expectation as a Bregman predictor. IEEE Trans. Inf. Theory 51 (7) (2005)
Arindam Banerjee, Xin Guo, Hui Wang
Optimal Bregman prediction and Jensen's equality. ISIT (2004)