← Authors

Bamdev Mishra

18 papers · 2014–2024 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (23) 🧭 Keyword Pioneer 🀝 Dynamic Duo (11) πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (7) πŸ’Ž Century Club (18) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (69) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (7)

Conferences

ICML (6) NIPS (5) ACL (2) AISTATS (2) ACML (1) EMNLP (1) JMLR (1)

Top co-authors

Pratik Jawanpuria (11) Hiroyuki Kasai (5) Andi Han (5) Mayank Meghwanshi (2) Akiko Takeda (2) Pratik Kumar Jawanpuria (2) Hiroyuki Sato (2) Junbin Gao (2) Karthik S. Gurumoorthy (1) Satya Dev N T V (1)

Keywords

riemannian optimization (7) riemannian manifold (5) manifold optimization (4) matrix completion (4) low-rank matrix (3) cross-lingual embedding (2) unsupervised learning (2) word embedding (2) bilingual lexicon induction (2) stochastic gradient (2) tensor completion (2) matrix manifold (2) matrix factorization (2) constrained optimization (1) word alignment (1) multi-task learning (1) cross-lingual transfer (1) stochastic gradient descent (1) dual optimization (1) optimal transport (1)

Papers

Submodular framework for structured-sparse optimal transport ICML 2024
Riemannian coordinate descent algorithms on matrix manifolds ICML 2024
A Framework for Bilevel Optimization on Riemannian Manifolds NIPS 2024
SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining NIPS 2024
Riemannian Accelerated Gradient Methods via Extrapolation AISTATS 2023
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits ACML 2022
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry NIPS 2021
A Simple Approach to Learning Unsupervised Multilingual Embeddings EMNLP 2020
Geometry-aware domain adaptation for unsupervised alignment of word embeddings ACL 2020
Learning Geometric Word Meta-Embeddings ACL 2020
Riemannian adaptive stochastic gradient algorithms on matrix manifolds ICML 2019
A Dual Framework for Low-rank Tensor Completion NIPS 2018
Inexact trust-region algorithms on Riemannian manifolds NIPS 2018
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis AISTATS 2018
A Unified Framework for Structured Low-rank Matrix Learning ICML 2018
Riemannian Stochastic Recursive Gradient Algorithm ICML 2018
Low-rank tensor completion: a Riemannian manifold preconditioning approach ICML 2016
Manopt, a Matlab Toolbox for Optimization on Manifolds JMLR 2014