← Search

Pratik Kumar Jawanpuria

4 accepted papers

2026

Minibatch selection for Language Models via Partition Matroid Constrained Gradient Matching

ICML 2026poster

Training Large Language Models (LLMs) on heterogeneous datasets requires optimizing domain representations to balance convergence speed and domain coverage. While recent methods reduce computational overhead by selecting high-quality data subsets, they typically perform selection independently per d…

Cited by 0SourceScholar
2020

Statistical Optimal Transport posed as Learning Kernel Embedding

NeurIPS 2020poster

The objective in statistical Optimal Transport (OT) is to consistently estimate the optimal transport plan/map solely using samples from the given source and target marginal distributions. This work takes the novel approach of posing statistical OT as that of learning the transport plan's kernel mea…

2018

A Dual Framework for Low-rank Tensor Completion

NeurIPS 2018poster

One of the popular approaches for low-rank tensor completion is to use the latent trace norm regularization. However, most existing works in this direction learn a sparse combination of tensors. In this work, we fill this gap by proposing a variant of the latent trace norm that helps in learning a n…

2015

Efficient Output Kernel Learning for Multiple Tasks

NeurIPS 2015poster

The paradigm of multi-task learning is that one can achieve better generalization by learning tasks jointly and thus exploiting the similarity between the tasks rather than learning them independently of each other. While previously the relationship between tasks had to be user-defined in the form o…

Cited by 39SourcePDFScholar