Mishra, Bamdev
- SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
2024/06/04 by Han, Andi, Li, Jiaxiang, Huang, Wei +4 · 12 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- McTorch, a manifold optimization library for deep learning
2018/10/03 by Mayank Meghwanshi, Pratik Jawanpuria, Meghwanshi, Mayank +7 · 3 citations
Computer Science · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
- SPOT: A framework for selection of prototypes using optimal transport
2021/03/18 by Gurumoorthy, Karthik S., Jawanpuria, Pratik, Mishra, Bamdev · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Framework for Bilevel Optimization on Riemannian Manifolds
2024/02/06 by Han, Andi, Mishra, Bamdev, Jawanpuria, Pratik +1 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Symmetry-invariant optimization in deep networks
2015/11/05 by Badrinarayanan, Vijay, Mishra, Bamdev, Cipolla, Roberto · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Low-rank tensor completion: a Riemannian manifold preconditioning approach
2016/05/26 by Kasai, Hiroyuki, Mishra, Bamdev · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
- A Riemannian gossip approach to decentralized matrix completion
2016/05/23 by Bamdev Mishra, Hiroyuki Kasai, Mishra, Bamdev +3 · 1 citation
Computer Science · Engineering · #Cellular Automata and Applications #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
- Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings
2020/04/06 by Jawanpuria, Pratik, Meghwanshi, Mayank, Mishra, Bamdev · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Efficient Robust Optimal Transport with Application to Multi-Label Classification
2020/10/22 by Jawanpuria, Pratik, Satyadev, N T V, Mishra, Bamdev · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
2017/03/14 by Hiroyuki Kasai, Kasai, Hiroyuki, Hiroyuki Sato +3 · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Riemannian accelerated gradient methods via extrapolation
2022/08/13 by Han, Andi, Mishra, Bamdev, Jawanpuria, Pratik +1 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- A Unified Framework for Domain Adaptation using Metric Learning on\n Manifolds
2018/04/28 by Sridhar Mahadevan, Mahadevan, Sridhar, Bamdev Mishra +3 · 1 citation
Computer Science · Biochemistry, Genetics and Molecular Biology · Medicine · #Domain Adaptation and Few-Shot Learning #Cancer-related molecular mechanisms research #Mycobacterium research and diagnosis
- Riemannian stochastic variance reduced gradient on Grassmann manifold
2016/05/24 by Hiroyuki Kasai, Kasai, Hiroyuki, Hiroyuki Sato +3 · 1 citation
Computer Science · Engineering · Mathematics · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Markov Chains and Monte Carlo Methods
- Low-rank geometric mean metric learning
2018/06/14 by Mukul Bhutani, Bhutani, Mukul, Pratik Jawanpuria +5 · 1 citation
Computer Science · Engineering · #Face and Expression Recognition #Sparse and Compressive Sensing Techniques #Video Surveillance and Tracking Methods
- Riemannian adaptive stochastic gradient algorithms on matrix manifolds
2019/02/04 by Hiroyuki Kasai, Pratik Jawanpuria, Kasai, Hiroyuki +3 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Federated Learning on Riemannian Manifolds with Differential Privacy
2024/04/15 by Zhenwei Huang, Huang, Zhenwei, Wen Huang +5 · 1 citation
Computer Science · Mathematics · #68P27 #68W15 #90C30 #90C48 #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #advanced mathematical theories
- Riemannian Federated Learning via Averaging Gradient Streams
2024/09/11 by Zhenwei Huang, Wen Huang, Huang, Zhenwei +5 · 1 citation
Computer Science · #68W15 #90C30 #90C48 #Advanced Statistical Modeling Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques