Jake Snell
11 papers · 2017–2024 · 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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๐ฃ Hot Topic Early Bird ๐ Conference Polyglot ยท Bronze ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Bronze ๐บ๏ธ Taxonomy Completionist (21)
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Trend Setter
๐
Century Club ยท Bronze
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Conference Pioneer
๐๏ธ
Keyword Collector
(53)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(5)
Learning Types ยท Machine Learning
(5)
Learning Paradigms
(4)
Optimization & Theory
(4)
Application Areas
(3)
Core Methods
(3)
Deep Learning
(2)
Core AI
(2)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Learning Types ยท Deep Learning
(1)
Mathematics
(1)
Models
(1)
Keywords
risk management
(3)
representation learning
(2)
loss distribution
(2)
zero-shot learning
(2)
few-shot learning
(2)
statistical learning
(2)
prototypical network
(2)
metric learning
(2)
compositional generalization
(1)
prompt engineering
(1)
semi-supervised learning
(1)
data visualization
(1)
in-context learning
(1)
gaussian process
(1)
bayesian filtering
(1)
uncertainty quantification
(1)
distance computation
(1)
state estimation
(1)
gradient descent
(1)
kalman filter
(1)
Papers
Implicit Maximum a Posteriori Filtering via Adaptive Optimization
ICLR 2024
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
ICLR 2024
Distribution-Free Statistical Dispersion Control for Societal Applications
NeurIPS 2023
Im-Promptu: In-Context Composition from Image Prompts
NeurIPS 2023
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
ICLR 2023
Bayesian Few-Shot Classification with One-vs-Each Pรณlya-Gamma Augmented Gaussian Processes
ICLR 2021
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
ICLR 2019
Lorentzian Distance Learning for Hyperbolic Representations
ICML 2019
Learning Latent Subspaces in Variational Autoencoders
NeurIPS 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
ICLR 2018
Prototypical Networks for Few-shot Learning
NeurIPS 2017