Hippolyt Ritter
6 papers · 2017–2022 · 3 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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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2)
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(6)
Artificial Intelligence
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Models
(2)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
laplace approximation
(3)
neural network
(2)
kronecker factorization
(2)
bayesian neural network
(2)
bayesian online learning
(2)
bayesian inference
(2)
variational inference
(2)
catastrophic forgetting
(2)
uncertainty estimation
(1)
parameter efficiency
(1)
few-shot classification
(1)
deep ensemble
(1)
gauss-newton optimization
(1)
piecewise linear transfer
(1)
optimization performance
(1)
bayesian online meta-learning
(1)
inducing weight
(1)
model-agnostic meta-learning
(1)
online laplace approximation
(1)
adversarial robustness
(1)
Papers
Black-box coreset variational inference
NeurIPS 2022
Addressing Catastrophic Forgetting in Few-Shot Problems
ICML 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
NeurIPS 2021
A Scalable Laplace Approximation for Neural Networks
ICLR 2018
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
NeurIPS 2018
Practical Gauss-Newton Optimisation for Deep Learning
ICML 2017