Bamdev Mishra
20 papers · 2014–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(11)
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Dynamic Duo
(11)
π
Keyword Champion
(7)
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Keyword Collector
(88)
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Century Club Β· Bronze
Top co-authors
Research topics
Mathematics & Optimization
(15)
Machine Learning
(14)
Optimization
(14)
Mathematics
(8)
Optimization & Theory
(8)
Core Methods
(6)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Learning Types Β· Machine Learning
(2)
Robotics
(1)
Application Areas
(1)
Generation
(1)
Keywords
riemannian optimization
(7)
riemannian manifold
(6)
manifold optimization
(4)
matrix completion
(4)
low-rank matrix
(3)
cross-lingual embedding
(2)
stochastic gradient
(2)
word embedding
(2)
bilingual lexicon induction
(2)
matrix factorization
(2)
grassmann manifold
(2)
tensor completion
(2)
matrix manifold
(2)
unsupervised learning
(2)
word alignment
(1)
cross-lingual transfer
(1)
optimal transport
(1)
stochastic gradient descent
(1)
gradient descent
(1)
domain adaptation
(1)
Papers
Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
L4DC 2026
SAJA: A Simple Approach to Judge Alignment for LLM-as-a-Judge
ACL 2026
A Framework for Bilevel Optimization on Riemannian Manifolds
NeurIPS 2024
Riemannian coordinate descent algorithms on matrix manifolds
ICML 2024
SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining
NeurIPS 2024
Submodular framework for structured-sparse optimal transport
ICML 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
NeurIPS 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
NeurIPS 2018
A Unified Framework for Structured Low-rank Matrix Learning
ICML 2018
Inexact trust-region algorithms on Riemannian manifolds
NeurIPS 2018
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
AISTATS 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