Charline Le Lan
9 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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๐ฃ Hot Topic Early Bird ๐งญ Keyword Pioneer ๐ Interdisciplinary Bridge ๐ Conference Polyglot (5) ๐ Academic Marathon (5)
๐
Cross-Pollinator
(13)
๐บ๏ธ
Taxonomy Completionist
(18)
๐
Grand Slam
Conferences
ICML (4)
AISTATS (2)
AAAI (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
representation learning
(3)
neural network
(2)
state representation
(2)
reinforcement learning
(2)
policy evaluation
(1)
matrix factorization
(1)
markov decision process
(1)
hierarchical representation
(1)
generalization error
(1)
spectral decomposition
(1)
generative model
(1)
latent representation
(1)
principal subspace
(1)
prediction error
(1)
lie group
(1)
metric space
(1)
successor representation
(1)
effective dimension
(1)
group equivariance
(1)
variational auto-encoder
(1)
Papers
Human Alignment of Large Language Models through Online Preference Optimisation
ICML 2024
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
ICLR 2023
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
AISTATS 2023
Bootstrapped Representations in Reinforcement Learning
ICML 2023
Understanding Self-Predictive Learning for Reinforcement Learning
ICML 2023
On the Generalization of Representations in Reinforcement Learning
AISTATS 2022
LieTransformer: Equivariant Self-Attention for Lie Groups
ICML 2021
Metrics and Continuity in Reinforcement Learning
AAAI 2021
Continuous Hierarchical Representations with Poincarรฉ Variational Auto-Encoders
NIPS 2019