Pratik Jawanpuria

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 57

Top Topics

Riemannian Manifolds

Kernel Learning

Top Venues

Trans. Mach. Learn. Res.

Publications

Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Sakethanath Nath Jagarlapudi, Bamdev Mishra
Submodular Framework for Structured-Sparse Optimal Transport. CoRR (2024)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
A Framework for Bilevel Optimization on Riemannian Manifolds. CoRR (2024)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Riemannian block SPD coupling manifold and its application to optimal transport. Mach. Learn. 113 (4) (2024)
Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining. CoRR (2024)
Andi Han, Pratik Jawanpuria, Bamdev Mishra
Riemannian coordinate descent algorithms on matrix manifolds. CoRR (2024)
Piyushi Manupriya, Saketha Nath Jagarlapudi, Pratik Jawanpuria
MMD-Regularized Unbalanced Optimal Transport. Trans. Mach. Learn. Res. 2024 (2024)
Pratik Jawanpuria, Bamdev Mishra, Karthik S. Gurumoorthy
Revisiting stochastic submodular maximization with cardinality constraint: A bandit perspective. Trans. Mach. Learn. Res. 2024 (2024)
Neel Mishra, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. CoRR (2024)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Differentially private Riemannian optimization. Mach. Learn. 113 (3) (2024)
Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
Federated Learning on Riemannian Manifolds with Differential Privacy. CoRR (2024)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. GSI (1) (2023)
Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra
Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction. Trans. Mach. Learn. Res. 2023 (2023)
Arnab Poddar, Abhishek Kumar Sah, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas
Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract). AAAI (2023)
Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar
Light-weight Deep Extreme Multilabel Classification. IJCNN (2023)
Arnab Poddar, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas
TBM-GAN: Synthetic Document Generation with Degraded Background. ICDAR (2) (2023)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. 33 (3) (2023)
Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar
Light-weight Deep Extreme Multilabel Classification. CoRR (2023)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Riemannian Accelerated Gradient Methods via Extrapolation. AISTATS (2023)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Nonconvex-nonconcave min-max optimization on Riemannian manifolds. Trans. Mach. Learn. Res. 2023 (2023)
Soumyadeep Dey, Pratik Jawanpuria
Confidence Score for Unsupervised Foreground Background Separation of Document Images. CoRR (2022)
Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava
Generalised Spherical Text Embedding. ICON (2022)
Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra
Rieoptax: Riemannian Optimization in JAX. CoRR (2022)
Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava
Generalised Spherical Text Embedding. CoRR (2022)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Differentially private Riemannian optimization. CoRR (2022)
Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. ACML (2022)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
Riemannian accelerated gradient methods via extrapolation. CoRR (2022)
Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. CoRR (2022)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
Riemannian Hamiltonian methods for min-max optimization on manifolds. CoRR (2022)
Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra
Efficient Robust Optimal Transport with Application to Multi-Label Classification. CDC (2021)
Bamdev Mishra, N. T. V. Satya Dev, Hiroyuki Kasai, Pratik Jawanpuria
Manifold optimization for optimal transport. CoRR (2021)
Soumyadeep Dey, Pratik Jawanpuria
Light-weight Document Image Cleanup using Perceptual Loss. CoRR (2021)
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. CoRR (2021)
Soumyadeep Dey, Pratik Jawanpuria
Light-Weight Document Image Cleanup Using Perceptual Loss. ICDAR (3) (2021)
Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra
SPOT: A Framework for Selection of Prototypes Using Optimal Transport. ECML/PKDD (4) (2021)
Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra
SPOT: A framework for selection of prototypes using optimal transport. CoRR (2021)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings. CoRR (2020)
J. Saketha Nath, Pratik Jawanpuria
Statistical Optimal Transport posed as Learning Kernel Embedding. CoRR (2020)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
Geometry-aware domain adaptation for unsupervised alignment of word embeddings. ACL (2020)
Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra
Learning Geometric Word Meta-Embeddings. CoRR (2020)
Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra
Learning Geometric Word Meta-Embeddings. RepL4NLP@ACL (2020)
Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra
Efficient robust optimal transport: formulations and algorithms. CoRR (2020)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
A Simple Approach to Learning Unsupervised Multilingual Embeddings. EMNLP (1) (2020)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
A Simple Approach to Learning Unsupervised Multilingual Embeddings. CoRR (2020)
Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra
Riemannian adaptive stochastic gradient algorithms on matrix manifolds. ICML (2019)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
Low-rank approximations of hyperbolic embeddings. CDC (2019)
Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra
Low-rank approximations of hyperbolic embeddings. CoRR (2019)
Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria
Riemannian optimization on the simplex of positive definite matrices. CoRR (2019)
Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. Trans. Assoc. Comput. Linguistics 7 (2019)
Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra
Adaptive stochastic gradient algorithms on Riemannian manifolds. CoRR (2019)
Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop
A Riemannian gossip approach to subspace learning on Grassmann manifold. Mach. Learn. 108 (10) (2019)
Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan, Hiroyuki Kasai, Bamdev Mishra
McTorch, a manifold optimization library for deep learning. CoRR (2018)
Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. CoRR (2018)
Pratik Jawanpuria, Bamdev Mishra
A Unified Framework for Structured Low-rank Matrix Learning. ICML (2018)
Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai, Bamdev Mishra
Low-rank geometric mean metric learning. CoRR (2018)
Pratik Jawanpuria, Bamdev Mishra
A Saddle Point Approach to Structured Low-rank Matrix Learning in Large-scale Applications. CoRR (2017)
Madhav Nimishakavi, Pratik Jawanpuria, Bamdev Mishra
A Dual Framework for Low-rank Tensor Completion. CoRR (2017)
Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop
A Riemannian gossip approach to decentralized subspace learning on Grassmann manifold. CoRR (2017)
Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan
Generalized hierarchical kernel learning. J. Mach. Learn. Res. 16 (2015)
Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele
Efficient Output Kernel Learning for Multiple Tasks. CoRR (2015)
Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele
Efficient Output Kernel Learning for Multiple Tasks. NIPS (2015)
Pratik Jawanpuria, Manik Varma, J. Saketha Nath
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. ICML (2014)
Pratik Jawanpuria, J. Saketha Nath
A Convex Feature Learning Formulation for Latent Task Structure Discovery CoRR (2012)
Pratik Jawanpuria, J. Saketha Nath
A Convex Feature Learning Formulation for Latent Task Structure Discovery. ICML (2012)
Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan
Efficient Rule Ensemble Learning using Hierarchical Kernels. ICML (2011)
Pratik Jawanpuria, Jagarlapudi Saketha Nath
Multi-task Multiple Kernel Learning. SDM (2011)