Rajarshi Saha
5 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(11)
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Core AI
(3)
Optimization & Theory · Machine Learning
(3)
Deep Learning
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Core Methods
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
model compression
(1)
matrix decomposition
(1)
dimensionality reduction
(1)
low-rank decomposition
(1)
matrix approximation
(1)
regularized optimization
(1)
multi-armed bandit
(1)
regret bound
(1)
randomized algorithm
(1)
low-rank adaptation
(1)
edge deployment
(1)
parameter efficiency
(1)
semi-structured sparsity
(1)
weight quantization
(1)
low-precision quantization
(1)
post-training compression
(1)
model acceleration
(1)
low-rank factorization
(1)
large language model
(1)
mask selection
(1)
Papers
PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS
ICML 2025
Compressing Large Language Models using Low Rank and Low Precision Decomposition
NeurIPS 2024
Matrix Compression via Randomized Low Rank and Low Precision Factorization
NeurIPS 2023
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
AAAI 2022
Pushing the Range Limits of Commercial Passive RFIDs
NSDI 2019