Shiva Prasad Kasiviswanathan
5 papers · 2016–2021 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (5) π Cross-Pollinator (13)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(10)
π
Trend Setter
Conferences
AISTATS (1)
COLT (1)
ICML (1)
IJCAI (1)
UAI (1)
Top co-authors
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
Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression
COLT 2018
Network Approximation using Tensor Sketching
IJCAI 2018
Efficient Private Empirical Risk Minimization for High-dimensional Learning
ICML 2016