← Authors

Poorya Mianjy

13 papers · 2016–2023 · 3 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) 🧭 Keyword Pioneer 🀝 Dynamic Duo (13) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (51) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (13) πŸ”₯ Unstoppable (8)

Conferences

ICML (7) NIPS (5) ICLR (1)

Top co-authors

Raman Arora (13) Teodor Vanislavov Marinov (3) Yunjuan Wang (2) Enayat Ullah (2) Nati Srebro (1) Nathan Srebro (1) Amitabh Basu (1) RenΓ© Vidal (1) Anirbit Mukherjee (1) Peter Bartlett (1)

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