Benjamin David Haeffele
8 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
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Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(5)
Mathematics & Optimization
(4)
Core Methods
(4)
Optimization & Theory · Machine Learning
(4)
Learning Types
(3)
Optimization
(3)
Artificial Intelligence
(2)
Architectures
(2)
Core AI
(2)
Mathematics
(2)
Models
(2)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
neural network architecture
(1)
representation learning
(1)
manifold learning
(1)
variational inference
(1)
manifold regularization
(1)
self-supervised learning
(1)
sample complexity
(1)
computational efficiency
(1)
feature representation
(1)
empirical risk minimization
(1)
convex relaxation
(1)
conditional probability
(1)
image clustering
(1)
entropy
(1)
information maximization
(1)
lipschitz continuity
(1)
generalization bound
(1)
information gain
(1)
implicit bia
(1)
subspace clustering
(1)
Papers
A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks
AISTATS 2025
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
ICLR 2025
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
ICLR 2024
Performance Bounds for Active Binary Testing with Information Maximization
ICML 2024
Learning Globally Smooth Functions on Manifolds
ICML 2023
Variational Information Pursuit for Interpretable Predictions
ICLR 2023
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension
ICLR 2022
A Critique of Self-Expressive Deep Subspace Clustering
ICLR 2021