Stratis Ioannidis
20 papers · 2014–2026 · 9 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 (46) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(11)
🏆
Grand Slam
📈
Trend Setter
💎
Century Club · Bronze
🗃️
Keyword Collector
(105)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(18)
Optimization & Theory
(13)
Core Methods
(10)
Artificial Intelligence
(7)
Deep Learning
(6)
Learning Types · Machine Learning
(5)
Application Areas
(4)
Core AI
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Security & Privacy
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Differential Privacy
(2)
Learning Types · Deep Learning
(2)
Keywords
plackett-luce model
(3)
alternating direction method of multiplier
(3)
image classification
(2)
differential privacy
(2)
catastrophic forgetting
(2)
continual learning
(2)
feature interaction
(2)
linear regression
(2)
spectral algorithm
(2)
hilbert-schmidt independence criterion
(2)
variational inference
(2)
bayesian inference
(1)
convex optimization
(1)
logistic regression
(1)
federated learning
(1)
spectral clustering
(1)
neural network interpretability
(1)
adversarial robustness
(1)
active learning
(1)
distributed learning
(1)
Papers
SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification
WACV 2026
Learning Set Functions with Implicit Differentiation
AAAI 2025
Neural Point Processes for Pixel-wise Regression
AISTATS 2025
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
NeurIPS 2024
Exploring Token Pruning in Vision State Space Models
NeurIPS 2024
Online Submodular Maximization via Online Convex Optimization
AAAI 2024
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
ICML 2023
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
NeurIPS 2023
Differentially Private Regression with Unbounded Covariates
AISTATS 2022
Explanations of Black-Box Models based on Directional Feature Interactions
ICLR 2022
SparCL: Sparse Continual Learning on the Edge
NeurIPS 2022
Deep Spectral Ranking
AISTATS 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
NeurIPS 2021
Fast and Accurate Ranking Regression
AISTATS 2020
Variational Inference from Ranked Samples with Features
ACML 2019
Distributing Frank-Wolfe via Map-Reduce
IJCAI 2018
Experimental Design under the Bradley-Terry Model
IJCAI 2018
Iterative Spectral Method for Alternative Clustering
AISTATS 2018
Truthful Linear Regression
COLT 2015
Learning Mixtures of Linear Classifiers
ICML 2014