Navid Azizan
13 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird π Conference Polyglot (8)
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Academic Marathon
(6)
π
Cross-Pollinator
(14)
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Renaissance Researcher
(5)
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Century Club
(11)
π₯
Unstoppable
(7)
Conferences
AISTATS (3)
UAI (2)
ALT (1)
ICLR (1)
ICML (1)
JMLR (1)
L4DC (1)
MIDL (1)
NIPS (1)
RSS (1)
Top co-authors
Keywords
gradient descent
(4)
neural network
(3)
maximum-margin solution
(2)
trajectory tracking
(2)
mirror descent
(2)
in-context learning
(1)
epistemic uncertainty
(1)
catastrophic forgetting
(1)
maximum margin
(1)
semidefinite programming
(1)
kernel regression
(1)
fisher information matrix
(1)
matrix sketching
(1)
adaptive control
(1)
nonlinear dynamical system
(1)
regret bound
(1)
implicit regularization
(1)
implicit bia
(1)
out-of-distribution detection
(1)
online learning
(1)
Papers
Test-Time Scaling in Clinical Decision Making
MIDL 2026
On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning
ALT 2026
Meta-Learning for Adaptive Control with Automated Mirror Descent
L4DC 2025
Quantifying Representation Reliability in Self-Supervised Learning Models
UAI 2024
A Unified Approach to Controlling Implicit Regularization via Mirror Descent
JMLR 2023
Online Learning for Traffic Routing under Unknown Preferences
AISTATS 2023
Learning Control-Oriented Dynamical Structure from Data
ICML 2023
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
NIPS 2022
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming
AISTATS 2022
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
RSS 2021
Sketching curvature for efficient out-of-distribution detection for deep neural networks
UAI 2021
Orthogonal Gradient Descent for Continual Learning
AISTATS 2020
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
ICLR 2019