Efficient Rule Ensemble Learning using Hierarchical Kernels. - Pratik Jawanpuria; Jagarlapudi Saketha Nath; Ganesh Ramakrishnan (ICML, 2011)

Multi-task Multiple Kernel Learning. - Pratik Jawanpuria; Jagarlapudi Saketha Nath (SDM, 2011)

A Convex Feature Learning Formulation for Latent Task Structure Discovery. - Pratik Jawanpuria; J. Saketha Nath (ICML, 2012)

On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. - Pratik Jawanpuria; Manik Varma; J. Saketha Nath (ICML, 2014)

Efficient Output Kernel Learning for Multiple Tasks. - Pratik Jawanpuria; Maksim Lapin; Matthias Hein 001; Bernt Schiele (NIPS, 2015)

Generalized hierarchical kernel learning. - Pratik Jawanpuria; Jagarlapudi Saketha Nath; Ganesh Ramakrishnan (J. Mach. Learn. Res., 2015)

A Saddle Point Approach to Structured Low-rank Matrix Learning in Large-scale Applications. - Pratik Jawanpuria; Bamdev Mishra (CoRR, 2017)

A Riemannian gossip approach to decentralized subspace learning on Grassmann manifold. - Bamdev Mishra; Hiroyuki Kasai; Pratik Jawanpuria; Atul Saroop (CoRR, 2017)

A Unified Framework for Structured Low-rank Matrix Learning. - Pratik Jawanpuria; Bamdev Mishra (ICML, 2018)

A Dual Framework for Low-rank Tensor Completion. - Madhav Nimishakavi; Pratik Kumar Jawanpuria; Bamdev Mishra (NeurIPS, 2018)

Low-rank geometric mean metric learning. - Mukul Bhutani; Pratik Jawanpuria; Hiroyuki Kasai; Bamdev Mishra (CoRR, 2018)

McTorch, a manifold optimization library for deep learning. - Mayank Meghwanshi; Pratik Jawanpuria; Anoop Kunchukuttan; Hiroyuki Kasai; Bamdev Mishra (CoRR, 2018)

Low-rank approximations of hyperbolic embeddings. - Pratik Jawanpuria; Mayank Meghwanshi; Bamdev Mishra (CDC, 2019)

Riemannian adaptive stochastic gradient algorithms on matrix manifolds. - Hiroyuki Kasai; Pratik Jawanpuria; Bamdev Mishra (ICML, 2019)

Adaptive stochastic gradient algorithms on Riemannian manifolds. - Hiroyuki Kasai; Pratik Jawanpuria; Bamdev Mishra (CoRR, 2019)

Riemannian optimization on the simplex of positive definite matrices. - Bamdev Mishra; Hiroyuki Kasai; Pratik Jawanpuria (CoRR, 2019)

A Riemannian gossip approach to subspace learning on Grassmann manifold. - Bamdev Mishra; Hiroyuki Kasai; Pratik Jawanpuria; Atul Saroop (Mach. Learn., 2019)

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. - Pratik Jawanpuria; Arjun Balgovind; Anoop Kunchukuttan; Bamdev Mishra (Trans. Assoc. Comput. Linguistics, 2019)

Geometry-aware domain adaptation for unsupervised alignment of word embeddings. - Pratik Jawanpuria; Mayank Meghwanshi; Bamdev Mishra (ACL, 2020)

A Simple Approach to Learning Unsupervised Multilingual Embeddings. - Pratik Jawanpuria; Mayank Meghwanshi; Bamdev Mishra (EMNLP (1), 2020)

Statistical Optimal Transport posed as Learning Kernel Embedding. - Jagarlapudi Saketha Nath; Pratik Kumar Jawanpuria (NeurIPS, 2020)

Learning Geometric Word Meta-Embeddings. - Pratik Jawanpuria; N. T. V. Satya Dev; Anoop Kunchukuttan; Bamdev Mishra (RepL4NLP@ACL, 2020)

Efficient robust optimal transport: formulations and algorithms. - Pratik Jawanpuria; N. T. V. Satya Dev; Bamdev Mishra (CoRR, 2020)

Efficient Robust Optimal Transport with Application to Multi-Label Classification. - Pratik Jawanpuria; N. T. V. Satya Dev; Bamdev Mishra (CDC, 2021)

Light-Weight Document Image Cleanup Using Perceptual Loss. - Soumyadeep Dey; Pratik Jawanpuria (ICDAR (3), 2021)

On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. - Andi Han; Bamdev Mishra; Pratik Kumar Jawanpuria; Junbin Gao (NeurIPS, 2021)

SPOT: A Framework for Selection of Prototypes Using Optimal Transport. - Karthik S. Gurumoorthy; Pratik Jawanpuria; Bamdev Mishra (ECML/PKDD (4), 2021)

Manifold optimization for optimal transport. - Bamdev Mishra; N. T. V. Satya Dev; Hiroyuki Kasai; Pratik Jawanpuria (CoRR, 2021)

ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. - Arghya Roy Chaudhuri; Pratik Jawanpuria; Bamdev Mishra (ACML, 2022)

Generalised Spherical Text Embedding. - Souvik Banerjee; Bamdev Mishra; Pratik Jawanpuria; Manish Shrivastava 001 (ICON, 2022)

Confidence Score for Unsupervised Foreground Background Separation of Document Images. - Soumyadeep Dey; Pratik Jawanpuria (CoRR, 2022)

Rieoptax: Riemannian Optimization in JAX. - Saiteja Utpala; Andi Han; Pratik Jawanpuria; Bamdev Mishra (CoRR, 2022)

Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract). - Arnab Poddar; Abhishek Kumar Sah; Soumyadeep Dey; Pratik Jawanpuria; Jayanta Mukhopadhyay; Prabir Kumar Biswas (AAAI, 2023)

Riemannian Accelerated Gradient Methods via Extrapolation. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Junbin Gao (AISTATS, 2023)

Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Junbin Gao (GSI (1), 2023)

TBM-GAN: Synthetic Document Generation with Degraded Background. - Arnab Poddar; Soumyadeep Dey; Pratik Jawanpuria; Jayanta Mukhopadhyay; Prabir Kumar Biswas (ICDAR (2), 2023)

Light-weight Deep Extreme Multilabel Classification. - Istasis Mishra; Arpan Dasgupta; Pratik Jawanpuria; Bamdev Mishra; Pawan Kumar 001 (IJCNN, 2023)

Nonconvex-nonconcave min-max optimization on Riemannian manifolds. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Junbin Gao (Trans. Mach. Learn. Res., 2023)

Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction. - Saiteja Utpala; Andi Han; Pratik Jawanpuria; Bamdev Mishra (Trans. Mach. Learn. Res., 2023)

Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Pawan Kumar 001; Junbin Gao (SIAM J. Optim., 2023)

Riemannian coordinate descent algorithms on matrix manifolds. - Andi Han; Pratik Jawanpuria; Bamdev Mishra (ICML, 2024)

Submodular framework for structured-sparse optimal transport. - Piyushi Manupriya; Pratik Jawanpuria; Karthik S. Gurumoorthy; Saketha Nath Jagarlapudi; Bamdev Mishra (ICML, 2024)

A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. - Neel Mishra; Pawan Kumar 001; Pratik Jawanpuria; Bamdev Mishra (IJCNN, 2024)

SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining. - Andi Han; Jiaxiang Li; Wei Huang; Mingyi Hong 001; Akiko Takeda; Pratik Kumar Jawanpuria; Bamdev Mishra (NeurIPS, 2024)

A Framework for Bilevel Optimization on Riemannian Manifolds. - Andi Han; Bamdev Mishra; Pratik Kumar Jawanpuria; Akiko Takeda (NeurIPS, 2024)

Federated Learning on Riemannian Manifolds with Differential Privacy. - Zhenwei Huang; Wen Huang 001; Pratik Jawanpuria; Bamdev Mishra (CoRR, 2024)

Riemannian Federated Learning via Averaging Gradient Stream. - Zhenwei Huang; Wen Huang 001; Pratik Jawanpuria; Bamdev Mishra (CoRR, 2024)

Differentially private Riemannian optimization. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Junbin Gao (Mach. Learn., 2024)

AutoDocSegmenter: A Geometric Approach towards Self-Supervised Document Segmentation. - Ankita Chatterjee; Anjali Raj; Soumyadeep Dey; Pratik Jawanpuria; Jayanta Mukhopadhyay; Partha Pratim Das 001 (Trans. Mach. Learn. Res., 2024)

Revisiting stochastic submodular maximization with cardinality constraint: A bandit perspective. - Pratik Jawanpuria; Bamdev Mishra; Karthik S. Gurumoorthy (Trans. Mach. Learn. Res., 2024)

MMD-Regularized Unbalanced Optimal Transport. - Piyushi Manupriya; Saketha Nath Jagarlapudi; Pratik Jawanpuria (Trans. Mach. Learn. Res., 2024)

Riemannian block SPD coupling manifold and its application to optimal transport. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Junbin Gao (Mach. Learn., 2024)

A Riemannian Approach to Ground Metric Learning for Optimal Transport. - Pratik Jawanpuria; Dai Shi; Bamdev Mishra; Junbin Gao (ICASSP, 2025)