1 code implementation • 19 Dec 2023 • William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu
However, most of those iterative methods are based on the $\ell_1$ norm which requires restrictive applicability conditions and could fail in many cases.
1 code implementation • 10 Oct 2023 • Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu
Specifically, we establish a clear connection between the variance of online gradients and the regret, and construct online gradients using the most recent stratified samples with a limited buffer of size of $s$ representing all past data, which have a complexity of $O(sT)$ and employs $O(\sqrt{T}\log{T})$ random Fourier features for kernel approximation.
no code implementations • 2 Feb 2023 • Bhaskar Mukhoty, Velibor Bojkovic, William de Vazelhes, Giulia De Masi, Huan Xiong, Bin Gu
To circumvent the problem surrogate method uses a differentiable approximation of the Heaviside in the backward pass, while the forward pass uses the Heaviside as the spiking function.
1 code implementation • 6 Nov 2021 • Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar
This paper presents AGGLIO (Accelerated Graduated Generalized LInear-model Optimization), a stage-wise, graduated optimization technique that offers global convergence guarantees for non-convex optimization problems whose objectives offer only local convexity and may fail to be even quasi-convex at a global scale.
no code implementations • 25 Jun 2020 • Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, Purushottam Kar
We provide the first global model recovery results for the IRLS (iteratively reweighted least squares) heuristic for robust regression problems.
1 code implementation • 22 May 2020 • Amit Chandak, Debojyoti Dey, Bhaskar Mukhoty, Purushottam Kar
Mass public quarantining, colloquially known as a lock-down, is a non-pharmaceutical intervention to check spread of disease.
no code implementations • 20 Nov 2017 • Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya, Sameep Mehta
In this work, we present a cloud-based extraction monitor that can quantify the extraction status of models by observing the query and response streams of both individual and colluding adversarial users.
no code implementations • 20 Jul 2015 • Bhaskar Mukhoty, Ruchir Gupta, Y. N. Singh
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 inter-cluster separation and intra-cluster cohesion over a range of cluster numbers and report the number which gives an optimum value of the index.