Christian Daniel
12 papers · 2012–2023 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π£ Hot Topic Early Bird
π
Academic Marathon
(11)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(51)
π
Century Club
(12)
π₯
Unstoppable
(6)
π
Trend Setter
π
Conference Pioneer
Conferences
ICLR (3)
ICML (3)
AISTATS (2)
CORL (1)
JMLR (1)
NIPS (1)
RSS (1)
Top co-authors
Keywords
robot learning
(3)
gaussian process
(3)
policy search
(2)
relative entropy
(2)
continuous control
(2)
hierarchical policy search
(2)
policy optimization
(1)
probabilistic modeling
(1)
deep reinforcement learning
(1)
likelihood-free inference
(1)
policy learning
(1)
hierarchical reinforcement learning
(1)
gradient-based optimization
(1)
robust optimization
(1)
policy gradient
(1)
importance sampling
(1)
time series
(1)
stochastic control
(1)
variational inference
(1)
reinforcement learning
(1)
Papers
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
ICLR 2023
Bayesian Context Aggregation for Neural Processes
ICLR 2021
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
ICLR 2020
Differentiable Likelihoods for Fast Inversion of βLikelihood-Freeβ Dynamical Systems
ICML 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
AISTATS 2020
Trajectory-Based Off-Policy Deep Reinforcement Learning
ICML 2019
Probabilistic Recurrent State-Space Models
ICML 2018
Optimizing Long-term Predictions for Model-based Policy Search
CORL 2017
Hierarchical Relative Entropy Policy Search
JMLR 2016
Active Reward Learning
RSS 2014
Probabilistic Movement Primitives
NIPS 2013
Hierarchical Relative Entropy Policy Search
AISTATS 2012