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Chiranjib Bhattacharya

4 accepted papers

2021

Can Non-Humanoid Social Robots Reduce Workload of Special Educators : An Online and In-Premises Field Study

ICRA 2021poster

Although Socially Assistive Robotics have been used in Autism Spectrum Disorder (ASD) interventions, such studies often exclude Special Educators (SEs) and often use expensive humanoid robots. In this paper, we investigate whether non-humanoid toy robots can act as teaching aids in ASD Education, in…

Cited by 6SourceScholar
2018

Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach

AISTATS 2018poster

We consider the problem of minimizing a convex function over the intersection of finitely many simple sets which are easy to project onto. This is an important problem arising in various domains such as machine learning. The main difficulty lies in finding the projection of a point in the intersect…

Cited by 0SourcePDFScholar
2017

Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted $L_1$-norms

AISTATS 2017poster

The failure of LASSO to identify groups of correlated predictors in linear regression has sparked significant research interest. Recently, various norms were proposed, which can be best described as instances of ordered weighted $\ell_1$ norms (OWL), as an alternative to $\ell_1$ regularizati…

Cited by 10SourcePDFScholar
2016

Non-negative Matrix Factorization under Heavy Noise

ICML 2016poster

The Noisy Non-negative Matrix factorization (NMF) is: given a data matrix A (d x n), find non-negative matrices B;C (d x k, k x n respy.) so that A = BC +N, where N is a noise matrix. Existing polynomial time algorithms with proven error guarantees require EACH column N_⋅j to have l1 norm much small…

Cited by 15SourcePDFScholar