no code implementations • 31 Oct 2023 • Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj
Business and IT Observability (BizITObs) data fuses both Biz-KPIs and IT event channels together as multivariate time series data.
1 code implementation • 26 Jan 2023 • Prashant Trivedi, Nandyala Hemachandra
The proof requires the convergence of cost function parameters, the MAEVI algorithm, and analysis of the regret bounds induced by the MAEVI triggering condition for each agent.
no code implementations • 27 Dec 2021 • Inderjeet Singh, Nandyala Hemachandra
To the best of our knowledge, this is the first instance where a capsule network is analyzed for the anomaly detection task in a high-dimensional complex data setting.
no code implementations • 3 Sep 2021 • Prashant Trivedi, Nandyala Hemachandra
We observe an almost 25\% reduction in the average congestion in 2 MAN algorithms; the average congestion in another MAN algorithm is on par with the MAAC algorithm.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 16 Sep 2020 • Arun Verma, Manjesh K. Hanawal, Nandyala Hemachandra
The total loss is the sum of the cost incurred for selecting the arm and the stochastic loss associated with the selected arm.
no code implementations • 14 Aug 2020 • Puja Sahu, Nandyala Hemachandra
We investigate optimal posteriors for recently introduced \cite{begin2016pac} chi-squared divergence based PAC-Bayesian bounds in terms of nature of their distribution, scalability of computations, and test set performance.
no code implementations • 25 Dec 2019 • Arun Verma, Manjesh K. Hanawal, Nandyala Hemachandra
In medical diagnosis, physicians predict the state of a patient by checking measurements (features) obtained from a sequence of tests, e. g., blood test, urine test, followed by invasive tests.
no code implementations • 14 Dec 2019 • Puja Sahu, Nandyala Hemachandra
This obviates the combinatorial search for subset support of the optimal posterior.