Debolina Paul

IEEE Trans. Neural Networks Learn. Syst., November, 2024

t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering.

[BibT_eX]

[DOI]

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

Robust and Automatic Data Clustering: Dirichlet Process meets Median-of-Means.

[BibT_eX]

[DOI]

Supratik Basu

Jyotishka Ray Choudhury

CoRR, 2023

2022

Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Uniform Concentration Bounds toward a Unified Framework for Robust Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

$t$-Entropy: A New Measure of Uncertainty with Some Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Kernel k-Means, By All Means: Algorithms and Strong Consistency.

[BibT_eX]

[DOI]

CoRR, 2020

Entropy Regularized Power k-Means Clustering.

[BibT_eX]

[DOI]

CoRR, 2020

Entropy Weighted Power k-Means Clustering.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

On the non-convergence of differential evolution: some generalized adversarial conditions and a remedy.

[BibT_eX]

[DOI]