Stratis Ioannidis
20 papers · 2014–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (9)
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Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π
Conference Polyglot
(9)
π€
Dynamic Duo
(11)
π
Grand Slam
π₯
Unstoppable
(9)
π
Century Club
(20)
π
Trend Setter
ποΈ
Keyword Collector
(96)
Conferences
AISTATS (5)
NIPS (5)
AAAI (2)
ICML (2)
IJCAI (2)
ACML (1)
COLT (1)
ICLR (1)
WACV (1)
Top co-authors
Research topics
Keywords
plackett-luce model
(3)
alternating direction method of multiplier
(3)
image classification
(2)
linear regression
(2)
catastrophic forgetting
(2)
variational inference
(2)
spectral algorithm
(2)
differential privacy
(2)
continual learning
(2)
bayesian inference
(1)
convex optimization
(1)
federated learning
(1)
spectral clustering
(1)
logistic regression
(1)
adversarial robustness
(1)
active learning
(1)
distributed learning
(1)
convergence analysis
(1)
neural network interpretability
(1)
self-supervised learning
(1)
Papers
SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification
WACV 2026
Neural Point Processes for Pixel-wise Regression
AISTATS 2025
Learning Set Functions with Implicit Differentiation
AAAI 2025
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
NIPS 2024
Exploring Token Pruning in Vision State Space Models
NIPS 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
NIPS 2023
SparCL: Sparse Continual Learning on the Edge
NIPS 2022
Explanations of Black-Box Models based on Directional Feature Interactions
ICLR 2022
Differentially Private Regression with Unbounded Covariates
AISTATS 2022
Deep Spectral Ranking
AISTATS 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
NIPS 2021
Fast and Accurate Ranking Regression
AISTATS 2020
Variational Inference from Ranked Samples with Features
ACML 2019
Iterative Spectral Method for Alternative Clustering
AISTATS 2018
Experimental Design under the Bradley-Terry Model
IJCAI 2018
Distributing Frank-Wolfe via Map-Reduce
IJCAI 2018
Truthful Linear Regression
COLT 2015
Learning Mixtures of Linear Classifiers
ICML 2014