Search Results for author: Jayesh Choudhari

Found 4 papers, 2 papers with code

Online Coresets for Clustering with Bregman Divergences

no code implementations11 Dec 2020 Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta, Supratim Shit

Our first algorithm gives online coresets of size $\tilde{O}(\mbox{poly}(k, d,\epsilon,\mu))$ for $k$-clusterings according to any $\mu$-similar Bregman divergence.

Clustering

Streaming Coresets for Symmetric Tensor Factorization

1 code implementation ICML 2020 Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta, Supratim Shit

Factorizing tensors has recently become an important optimization module in a number of machine learning pipelines, especially in latent variable models.

IIT Gandhinagar at SemEval-2019 Task 3: Contextual Emotion Detection Using Deep Learning

1 code implementation SEMEVAL 2019 Arik Pamnani, Rajat Goel, Jayesh Choudhari, Mayank Singh

Recent advancements in Internet and Mobile infrastructure have resulted in the development of faster and efficient platforms of communication.

Chatbot

Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes

no code implementations12 Sep 2018 Srikanta Bedathur, Indrajit Bhattacharya, Jayesh Choudhari, Anirban Dasgupta

We show using experiments on real and semi-synthetic data that HMHP is able to generalize better and recover the network strengths, topics and diffusion paths more accurately than state-of-the-art baselines.

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