Navid Azizan
16 papers · 2019–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (37) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🧬 Topic Evolution
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(77)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(7)
Learning Types · Machine Learning
(7)
Mathematics & Optimization
(6)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Optimization
(5)
Robotics
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Deep Learning
(3)
Systems
(3)
Healthcare & Medicine
(1)
Application Areas
(1)
Architectures
(1)
Keywords
mirror descent
(4)
gradient descent
(4)
neural network
(3)
overparameterized model
(3)
adaptive control
(2)
maximum-margin solution
(2)
implicit bia
(2)
epistemic uncertainty
(2)
implicit regularization
(2)
trajectory tracking
(2)
semidefinite programming
(1)
minimax optimality
(1)
token selection
(1)
kernel regression
(1)
online learning
(1)
continual learning
(1)
in-context learning
(1)
fisher information matrix
(1)
attention mechanism
(1)
stochastic gradient descent
(1)
Papers
ATOM-CBF: Adaptive Safe Perception-Based Control under Out-of-Distribution Measurements
L4DC 2026
ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees
L4DC 2026
On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning
ALT 2026
Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection
JMLR 2026
Test-Time Scaling in Clinical Decision Making
MIDL 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
Learning Control-Oriented Dynamical Structure from Data
ICML 2023
Online Learning for Traffic Routing under Unknown Preferences
AISTATS 2023
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming
AISTATS 2022
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
NeurIPS 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