Shiva Prasad Kasiviswanathan
5 papers · 2016–2021 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Silver
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
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Hot Topic Early Bird
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Venues
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Research topics
Keywords
differential privacy
(2)
random projection
(2)
dimensionality reduction
(1)
neural network compression
(1)
compressed sensing
(1)
stochastic gradient descent
(1)
distributed learning
(1)
empirical risk minimization
(1)
sparse regression
(1)
restricted eigenvalue
(1)
communication efficiency
(1)
excess risk bound
(1)
convolutional neural network
(1)
gradient compression
(1)
model approximation
(1)
privacy accounting
(1)
renyi differential privacy
(1)
lasso estimator
(1)
parameter reduction
(1)
moments accountant
(1)
Papers
SGD with low-dimensional gradients with applications to private and distributed learning
UAI 2021
Subsampled Renyi Differential Privacy and Analytical Moments Accountant
AISTATS 2019
Network Approximation using Tensor Sketching
IJCAI 2018
Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression
COLT 2018
Efficient Private Empirical Risk Minimization for High-dimensional Learning
ICML 2016