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ORCIDPratik Jawanpuria
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2020 – today
- 2024
[j10]Andi Han
, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Differentially private Riemannian optimization. Mach. Learn. 113(3): 1133-1161 (2024)- [j9]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian block SPD coupling manifold and its application to optimal transport. Mach. Learn. 113(4): 1595-1622 (2024) - [j8]Pratik Jawanpuria, Bamdev Mishra, Karthik S. Gurumoorthy:
Revisiting stochastic submodular maximization with cardinality constraint: A bandit perspective. Trans. Mach. Learn. Res. 2024 (2024) - [j7]Piyushi Manupriya, Saketha Nath Jagarlapudi, Pratik Jawanpuria:
MMD-Regularized Unbalanced Optimal Transport. Trans. Mach. Learn. Res. 2024 (2024) - [c27]Andi Han, Pratik Jawanpuria, Bamdev Mishra:
Riemannian coordinate descent algorithms on matrix manifolds. ICML 2024 - [c26]Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra:
Submodular framework for structured-sparse optimal transport. ICML 2024 - [c25]Neel Mishra, Pawan Kumar, Pratik Jawanpuria, Bamdev Mishra:
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. IJCNN 2024: 1-9 - [i36]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda:
A Framework for Bilevel Optimization on Riemannian Manifolds. CoRR abs/2402.03883 (2024) - [i35]Neel Mishra, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar:
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. CoRR abs/2404.07172 (2024) - [i34]Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra:
Federated Learning on Riemannian Manifolds with Differential Privacy. CoRR abs/2404.10029 (2024) - [i33]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 abs/2406.02214 (2024) - [i32]Andi Han, Pratik Jawanpuria, Bamdev Mishra:
Riemannian coordinate descent algorithms on matrix manifolds. CoRR abs/2406.02225 (2024) - [i31]Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra:
Submodular Framework for Structured-Sparse Optimal Transport. CoRR abs/2406.04914 (2024) - [i30]Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra:
Riemannian Federated Learning via Averaging Gradient Stream. CoRR abs/2409.07223 (2024) - [i29]Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao:
A Riemannian Approach to Ground Metric Learning for Optimal Transport. CoRR abs/2409.10085 (2024) - 2023
- [j6]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. 33(3): 1797-1827 (2023) - [j5]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Nonconvex-nonconcave min-max optimization on Riemannian manifolds. Trans. Mach. Learn. Res. 2023 (2023) - [j4]Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra:
Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction. Trans. Mach. Learn. Res. 2023 (2023) - [c24]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: 16298-16299 - [c23]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian Accelerated Gradient Methods via Extrapolation. AISTATS 2023: 1554-1585 - [c22]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. GSI (1) 2023: 405-415 - [c21]Arnab Poddar, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
TBM-GAN: Synthetic Document Generation with Degraded Background. ICDAR (2) 2023: 366-383 - [c20]Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar:
Light-weight Deep Extreme Multilabel Classification. IJCNN 2023: 1-8 - [i28]Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar:
Light-weight Deep Extreme Multilabel Classification. CoRR abs/2304.11045 (2023) - 2022
- [c19]Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra:
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. ACML 2022: 169-184 - [c18]Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava:
Generalised Spherical Text Embedding. ICON 2022: 80-85 - [i27]Soumyadeep Dey, Pratik Jawanpuria:
Confidence Score for Unsupervised Foreground Background Separation of Document Images. CoRR abs/2204.04044 (2022) - [i26]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian methods for min-max optimization on manifolds. CoRR abs/2204.11418 (2022) - [i25]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Differentially private Riemannian optimization. CoRR abs/2205.09494 (2022) - [i24]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian accelerated gradient methods via extrapolation. CoRR abs/2208.06619 (2022) - [i23]Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra:
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. CoRR abs/2210.01860 (2022) - [i22]Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra:
Rieoptax: Riemannian Optimization in JAX. CoRR abs/2210.04840 (2022) - [i21]Souvik Banerjee, Bamdev Mishra, Pratik Jawanpuria, Manish Shrivastava:
Generalised Spherical Text Embedding. CoRR abs/2211.16801 (2022) - 2021
- [c17]Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra:
Efficient Robust Optimal Transport with Application to Multi-Label Classification. CDC 2021: 1490-1495 - [c16]Soumyadeep Dey, Pratik Jawanpuria:
Light-Weight Document Image Cleanup Using Perceptual Loss. ICDAR (3) 2021: 238-253 - [c15]Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria, Junbin Gao:
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. NeurIPS 2021: 8940-8953 - [c14]Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra:
SPOT: A Framework for Selection of Prototypes Using Optimal Transport. ECML/PKDD (4) 2021: 535-551 - [i20]Bamdev Mishra, N. T. V. Satya Dev, Hiroyuki Kasai, Pratik Jawanpuria:
Manifold optimization for optimal transport. CoRR abs/2103.00902 (2021) - [i19]Karthik S. Gurumoorthy, Pratik Jawanpuria, Bamdev Mishra:
SPOT: A framework for selection of prototypes using optimal transport. CoRR abs/2103.10159 (2021) - [i18]Soumyadeep Dey, Pratik Jawanpuria:
Light-weight Document Image Cleanup using Perceptual Loss. CoRR abs/2105.09076 (2021) - [i17]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. CoRR abs/2106.00286 (2021) - 2020
- [c13]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
Geometry-aware domain adaptation for unsupervised alignment of word embeddings. ACL 2020: 3052-3058 - [c12]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
A Simple Approach to Learning Unsupervised Multilingual Embeddings. EMNLP (1) 2020: 2995-3001 - [c11]Jagarlapudi Saketha Nath, Pratik Kumar Jawanpuria:
Statistical Optimal Transport posed as Learning Kernel Embedding. NeurIPS 2020 - [c10]Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra:
Learning Geometric Word Meta-Embeddings. RepL4NLP@ACL 2020: 39-44 - [i16]J. Saketha Nath, Pratik Jawanpuria:
Statistical Optimal Transport posed as Learning Kernel Embedding. CoRR abs/2002.03179 (2020) - [i15]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
A Simple Approach to Learning Unsupervised Multilingual Embeddings. CoRR abs/2004.05991 (2020) - [i14]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings. CoRR abs/2004.08243 (2020) - [i13]Pratik Jawanpuria, N. T. V. Satya Dev, Anoop Kunchukuttan, Bamdev Mishra:
Learning Geometric Word Meta-Embeddings. CoRR abs/2004.09219 (2020) - [i12]Pratik Jawanpuria, N. T. V. Satya Dev, Bamdev Mishra:
Efficient robust optimal transport: formulations and algorithms. CoRR abs/2010.11852 (2020)
2010 – 2019
- 2019
- [j3]Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop:
A Riemannian gossip approach to subspace learning on Grassmann manifold. Mach. Learn. 108(10): 1783-1803 (2019) - [j2]Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra:
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. Trans. Assoc. Comput. Linguistics 7: 107-120 (2019) - [c9]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
Low-rank approximations of hyperbolic embeddings. CDC 2019: 7159-7164 - [c8]Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra:
Riemannian adaptive stochastic gradient algorithms on matrix manifolds. ICML 2019: 3262-3271 - [i11]Hiroyuki Kasai, Pratik Jawanpuria, Bamdev Mishra:
Adaptive stochastic gradient algorithms on Riemannian manifolds. CoRR abs/1902.01144 (2019) - [i10]Pratik Jawanpuria, Mayank Meghwanshi, Bamdev Mishra:
Low-rank approximations of hyperbolic embeddings. CoRR abs/1903.07307 (2019) - [i9]Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria:
Riemannian optimization on the simplex of positive definite matrices. CoRR abs/1906.10436 (2019) - 2018
- [c7]Pratik Jawanpuria, Bamdev Mishra:
A Unified Framework for Structured Low-rank Matrix Learning. ICML 2018: 2259-2268 - [c6]Madhav Nimishakavi, Pratik Kumar Jawanpuria, Bamdev Mishra:
A Dual Framework for Low-rank Tensor Completion. NeurIPS 2018: 5489-5500 - [i8]Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai, Bamdev Mishra:
Low-rank geometric mean metric learning. CoRR abs/1806.05454 (2018) - [i7]Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra:
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. CoRR abs/1808.08773 (2018) - [i6]Mayank Meghwanshi, Pratik Jawanpuria, Anoop Kunchukuttan, Hiroyuki Kasai, Bamdev Mishra:
McTorch, a manifold optimization library for deep learning. CoRR abs/1810.01811 (2018) - 2017
- [i5]Pratik Jawanpuria, Bamdev Mishra:
A Saddle Point Approach to Structured Low-rank Matrix Learning in Large-scale Applications. CoRR abs/1704.07352 (2017) - [i4]Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, Atul Saroop:
A Riemannian gossip approach to decentralized subspace learning on Grassmann manifold. CoRR abs/1705.00467 (2017) - [i3]Madhav Nimishakavi, Pratik Jawanpuria, Bamdev Mishra:
A Dual Framework for Low-rank Tensor Completion. CoRR abs/1712.01193 (2017) - 2015
- [j1]Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan:
Generalized hierarchical kernel learning. J. Mach. Learn. Res. 16: 617-652 (2015) - [c5]Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele:
Efficient Output Kernel Learning for Multiple Tasks. NIPS 2015: 1189-1197 - [i2]Pratik Jawanpuria, Maksim Lapin, Matthias Hein, Bernt Schiele:
Efficient Output Kernel Learning for Multiple Tasks. CoRR abs/1511.05706 (2015) - 2014
- [c4]Pratik Jawanpuria, Manik Varma, J. Saketha Nath:
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. ICML 2014: 118-126 - 2012
- [c3]Pratik Jawanpuria, J. Saketha Nath:
A Convex Feature Learning Formulation for Latent Task Structure Discovery. ICML 2012 - [i1]Pratik Jawanpuria, J. Saketha Nath:
A Convex Feature Learning Formulation for Latent Task Structure Discovery. CoRR abs/1206.4611 (2012) - 2011
- [c2]Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan:
Efficient Rule Ensemble Learning using Hierarchical Kernels. ICML 2011: 161-168 - [c1]Pratik Jawanpuria, Jagarlapudi Saketha Nath:
Multi-task Multiple Kernel Learning. SDM 2011: 828-838
Coauthor Index
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