Search Results - "Mukhoty, Bhaskar"

A parameter-free affinity based clustering by Mukhoty, Bhaskar, Gupta, Ruchir, K., Lakshmanan, Kumar, Mayank

“…Several methods have been proposed to estimate the number of clusters in a dataset; the basic idea behind all of them has been to study an index that measures…”
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Robust non-parametric regression via incoherent subspace projections by Mukhoty, Bhaskar, Dutta, Subhajit, Kar, Purushottam

“…This paper establishes the algorithmic principle of alternating projections onto incoherent low-rank subspaces (APIS) as a unifying principle for designing…”
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Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory by AlQuabeh, Hilal, Mukhoty, Bhaskar, Gu, Bin

“…Pairwise learning is essential in machine learning, especially for problems involving loss functions defined on pairs of training examples. Online gradient…”
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Corruption-tolerant Algorithms for Generalized Linear Models by Mukhoty, Bhaskar P, Dey, Debojyoti, Kar, Purushottam

“…This paper presents SVAM (Sequential Variance-Altered MLE), a unified framework for learning generalized linear models under adversarial label corruption in…”
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Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery by de Vazelhes, William, Mukhoty, Bhaskar, Yuan, Xiao-Tong, Gu, Bin

“…Sparse recovery is ubiquitous in machine learning and signal processing. Due to the NP-hard nature of sparse recovery, existing methods are known to suffer…”
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AGGLIO: Global Optimization for Locally Convex Functions by Dey, Debojyoti, Mukhoty, Bhaskar, Kar, Purushottam

“…This paper presents AGGLIO (Accelerated Graduated Generalized LInear-model Optimization), a stage-wise, graduated optimization technique that offers global…”
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Sequence to sequence deep learning models for solar irradiation forecasting by Mukhoty, Bhaskar Pratim, Maurya, Vikas, Shukla, Sandeep Kumar

“…The energy output a photo voltaic(PV) panel is a function of solar irradiation and weather parameters like temperature and wind speed etc. A general measure…”
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Energy Efficient Training of SNN using Local Zeroth Order Method by Mukhoty, Bhaskar, Bojkovic, Velibor, de Vazelhes, William, De Masi, Giulia, Xiong, Huan, Gu, Bin

“…Spiking neural networks are becoming increasingly popular for their low energy requirement in real-world tasks with accuracy comparable to the traditional…”
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Unsupervised Learning Based Robust Multivariate Intrusion Detection System for Cyber-Physical Systems using Low Rank Matrix by Dutta, Aneet K, Mukhoty, Bhaskar, Shukla, Sandeep K

“…Regular and uninterrupted operation of critical infrastructures such as power, transport, communication etc. are essential for proper functioning of a country…”
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Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems by Mukhoty, Bhaskar, Gopakumar, Govind, Jain, Prateek, Kar, Purushottam

“…Proceedings of Machine Learning Research (PMLR) 89:313-322, 2019 We provide the first global model recovery results for the IRLS (iteratively reweighted least…”
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Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization by Chandak, Amit, Dey, Debojyoti, Mukhoty, Bhaskar, Kar, Purushottam

“…Mass public quarantining, colloquially known as a lock-down, is a non-pharmaceutical intervention to check spread of disease. This paper presents ESOP…”
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Sequence to sequence deep learning models for solar irradiation forecasting by Mukhoty, Bhaskar Pratim, Maurya, Vikas, Shukla, Sandeep Kumar

“…The energy output a photo voltaic(PV) panel is a function of solar irradiation and weather parameters like temperature and wind speed etc. A general measure…”
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Model Extraction Warning in MLaaS Paradigm by Kesarwani, Manish, Mukhoty, Bhaskar, Arya, Vijay, Mehta, Sameep

“…Cloud vendors are increasingly offering machine learning services as part of their platform and services portfolios. These services enable the deployment of…”
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A Parameter-free Affinity Based Clustering by Mukhoty, Bhaskar, Gupta, Ruchir, Singh, Y. N

“…Several methods have been proposed to estimate the number of clusters in a dataset; the basic ideal behind all of them has been to study an index that measures…”
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