Applied Theory for ML Research lab, IIT-Hyderabad

Supervised by Dr J. SakethaNath

This website belongs to the ATMLR lab supervised by Dr J. SakethaNath.

Our lab specializes in:

  • Formulating novel machine learning settings and problems, which may have diverse applications, as optimization problems
  • Analysing using tools from statistical learning theory
  • Devising scalable algorithms for solving these novel formulations.

Recent News

May 2024

"Submodular Framework for Structured-Sparse Optimal Transport"

Accepted at ICML 2024!

Read the paper at here.


January 2024

"Consistent Optimal Transport with Empirical Conditional Measures"

Accepted at AISTATS 2024!

Read the paper at here.


December 2023

"MMD-regularized Unbalanced Optimal Transport"

Accepted at TMLR 2024!

Read the paper at here.


January 2022

"Improving Attribution Methods by Learning Submodular Functions"

Accepted at AISTATS 2022!

Read the paper here.


January 2021

"Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification"

Accepted at EACL 2021!

Read the paper here.


September 2020

"Statistical Optimal Transport posed as Learning Kernel Embedding"

Accepted at NeurIPS 2020!

Read the paper here.