Jawanpuria, Pratik

23 publications

NeurIPS 2024 A Framework for Bilevel Optimization on Riemannian Manifolds Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda

TMLR 2024 AutoDocSegmenter: A Geometric Approach Towards Self-Supervised Document Segmentation Ankita Chatterjee, Anjali Raj, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Partha Pratim Das

MLJ 2024 Differentially Private Riemannian Optimization Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao

TMLR 2024 MMD-Regularized Unbalanced Optimal Transport Piyushi Manupriya, SakethaNath Jagarlapudi, Pratik Jawanpuria

TMLR 2024 Revisiting Stochastic Submodular Maximization with Cardinality Constraint: A Bandit Perspective Pratik Jawanpuria, Bamdev Mishra, Karthik S. Gurumoorthy

MLJ 2024 Riemannian Block SPD Coupling Manifold and Its Application to Optimal Transport Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao

ICML 2024 Riemannian Coordinate Descent Algorithms on Matrix Manifolds Andi Han, Pratik Jawanpuria, Bamdev Mishra

NeurIPS 2024 SLTrain: A Sparse Plus Low Rank Approach for Parameter and Memory Efficient Pretraining Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra

ICML 2024 Submodular Framework for Structured-Sparse Optimal Transport Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Sakethanath Jagarlapudi, Bamdev Mishra

AAAI 2023 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

TMLR 2023 Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra

TMLR 2023 Nonconvex-Nonconcave Min-Max Optimization on Riemannian Manifolds Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao

AISTATS 2023 Riemannian Accelerated Gradient Methods via Extrapolation Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao

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

NeurIPSW 2022 Rieoptax: Riemannian Optimization in JAX Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra

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

MLJ 2019 A Riemannian Gossip Approach to Subspace Learning on Grassmann Manifold Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop

ICML 2019 Riemannian Adaptive Stochastic Gradient Algorithms on Matrix Manifolds Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra

ICML 2018 A Unified Framework for Structured Low-Rank Matrix Learning Pratik Jawanpuria, Bamdev Mishra

JMLR 2015 Generalized Hierarchical Kernel Learning Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan

ICML 2014 On P-Norm Path Following in Multiple Kernel Learning for Non-Linear Feature Selection Pratik Jawanpuria, Manik Varma, Saketha Nath

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

ICML 2011 Efficient Rule Ensemble Learning Using Hierarchical Kernels Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan