Mishra, Bamdev

25 publications

TMLR 2025 HARE: Human-in-the-Loop Algorithmic Recourse Sai Srinivas Kancheti, Rahul Vigneswaran, Bamdev Mishra, Vineeth N. Balasubramanian

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

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

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

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

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

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

NeurIPS 2018 A Dual Framework for Low-Rank Tensor Completion Madhav Nimishakavi, Pratik Kumar Jawanpuria, Bamdev Mishra

ECML-PKDD 2018 A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh

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

NeurIPS 2018 Inexact Trust-Region Algorithms on Riemannian Manifolds Hiroyuki Kasai, Bamdev Mishra

AISTATS 2018 Riemannian Stochastic Quasi-Newton Algorithm with Variance Reduction and Its Convergence Analysis Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra

ICML 2018 Riemannian Stochastic Recursive Gradient Algorithm Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra

ICML 2016 Low-Rank Tensor Completion: A Riemannian Manifold Preconditioning Approach Hiroyuki Kasai, Bamdev Mishra

MLOSS 2014 Manopt, a Matlab Toolbox for Optimization on Manifolds Nicolas Boumal, Bamdev Mishra, P.-A. Absil, Rodolphe Sepulchre