Anastasis Kratsios
15 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Academic Marathon (5)
π
Conference Polyglot
(5)
π
Academic Marathon
(5)
π
Triple Crown
π±
Topic Pioneer
π
Keyword Champion
(3)
π
Century Club
(15)
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(55)
Conferences
JMLR (5)
ICLR (4)
NIPS (4)
COLT (1)
ICML (1)
Top co-authors
Research topics
Keywords
universal approximation
(3)
optimal transport
(2)
kernel ridge regression
(2)
manifold learning
(2)
geometric deep learning
(2)
neural network architecture
(2)
generalization bound
(2)
transfer learning
(1)
feature representation
(1)
feature learning
(1)
attention mechanism
(1)
probabilistic modeling
(1)
meta-algorithm
(1)
dimension reduction
(1)
generalization error
(1)
gradient descent
(1)
optimal control
(1)
distribution shift
(1)
algorithm design
(1)
convex optimization
(1)
Papers
Neural Operators Can Play Dynamic Stackelberg Games
JMLR 2025
Neural Spacetimes for DAG Representation Learning
ICLR 2025
Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models
ICLR 2025
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
NIPS 2024
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
ICLR 2024
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
ICML 2024
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
NIPS 2024
Instance-Dependent Generalization Bounds via Optimal Transport
JMLR 2023
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
NIPS 2023
Small Transformers Compute Universal Metric Embeddings
JMLR 2023
Universal Approximation Theorems for Differentiable Geometric Deep Learning
JMLR 2022
Universal Approximation Under Constraints is Possible with Transformers
ICLR 2022
NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation
JMLR 2021
Optimizing Optimizers: Regret-optimal gradient descent algorithms
COLT 2021
Non-Euclidean Universal Approximation
NIPS 2020