Search Results for author: Syamantak Kumar

Found 3 papers, 1 papers with code

Black-Box $k$-to-$1$-PCA Reductions: Theory and Applications

no code implementations6 Mar 2024 Arun Jambulapati, Syamantak Kumar, Jerry Li, Shourya Pandey, Ankit Pensia, Kevin Tian

The $k$-principal component analysis ($k$-PCA) problem is a fundamental algorithmic primitive that is widely-used in data analysis and dimensionality reduction applications.

Dimensionality Reduction

Keep or toss? A nonparametric score to evaluate solutions for noisy ICA

no code implementations16 Jan 2024 Syamantak Kumar, Purnamrita Sarkar, Peter Bickel, Derek Bean

Independent Component Analysis (ICA) was introduced in the 1980's as a model for Blind Source Separation (BSS), which refers to the process of recovering the sources underlying a mixture of signals, with little knowledge about the source signals or the mixing process.

blind source separation

From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text

1 code implementation ACL 2021 Ishan Tarunesh, Syamantak Kumar, Preethi Jyothi

Generating code-switched text is a problem of growing interest, especially given the scarcity of corpora containing large volumes of real code-switched text.

Data Augmentation Language Modelling +3

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