Poorya Mianjy
13 papers · 2016–2023 · 3 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
(3)
π§
Keyword Pioneer
π€
Dynamic Duo
(13)
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Triple Crown
ποΈ
Keyword Collector
(51)
β‘
Prolific Year
(5)
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Conference Pioneer
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Century Club
(13)
π₯
Unstoppable
(8)
Conferences
ICML (7)
NIPS (5)
ICLR (1)
Top co-authors
Keywords
neural network
(6)
principal component analysis
(3)
stochastic gradient descent
(3)
streaming algorithm
(2)
adversarial attack
(2)
generalization bound
(2)
robust optimization
(2)
data poisoning
(1)
adversarial robustness
(1)
learning theory
(1)
outlier detection
(1)
kernel pca
(1)
convex relaxation
(1)
canonical correlation analysis
(1)
adversarial training
(1)
projected gradient descent
(1)
convergence analysis
(1)
optimization landscape
(1)
matrix completion
(1)
stochastic approximation
(1)
Papers
Robustness Guarantees for Adversarially Trained Neural Networks
NIPS 2023
Adversarial Robustness is at Odds with Lazy Training
NIPS 2022
Robust Learning for Data Poisoning Attacks
ICML 2021
Dropout: Explicit Forms and Capacity Control
ICML 2021
On Convergence and Generalization of Dropout Training
NIPS 2020
On Dropout and Nuclear Norm Regularization
ICML 2019
Understanding Deep Neural Networks with Rectified Linear Units
ICLR 2018
Streaming Principal Component Analysis in Noisy Setting
ICML 2018
Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization
ICML 2018
On the Implicit Bias of Dropout
ICML 2018
Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features
NIPS 2018
Stochastic Approximation for Canonical Correlation Analysis
NIPS 2017
Stochastic Optimization for Multiview Representation Learning using Partial Least Squares
ICML 2016