Alexander J. Smola
14 papers · 2001–2023 · 7 venues · across top CS/AI venues
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Achievements
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๐บ๏ธ Taxonomy Completionist (27) ๐ Academic Marathon ยท Ultra ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Bronze ๐ฃ Hot Topic Early Bird
๐ฑ
Topic Pioneer
๐
Keyword Trendsetter Combo
(9)
๐งญ
Keyword Pioneer
๐
Conference Pioneer
๐
Century Club ยท Bronze
๐๏ธ
Keyword Collector
(66)
๐ฅ
Unstoppable ยท Bronze
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Trend Setter
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(9)
Mathematics & Optimization
(5)
Learning Types
(4)
Optimization
(4)
Reinforcement Learning
(2)
Methods
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Deep Learning
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Learning Paradigms
(1)
Keywords
kernel methods
(2)
support vector machine
(2)
off-policy learning
(2)
quantile regression
(2)
feature learning
(1)
robust regression
(1)
sequence modeling
(1)
policy optimization
(1)
multi-task learning
(1)
semidefinite programming
(1)
convex optimization
(1)
matrix factorization
(1)
feature selection
(1)
uncertainty quantification
(1)
sparse estimation
(1)
conformal prediction
(1)
sample complexity
(1)
model aggregation
(1)
deep learning
(1)
robust classification
(1)
Papers
Flexible Model Aggregation for Quantile Regression
JMLR 2023
Meta-Q-Learning
ICLR 2020
Efficient Multitask Feature and Relationship Learning
UAI 2019
P3O: Policy-on Policy-off Policy Optimization
UAI 2019
Compressed Video Action Recognition
CVPR 2018
Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data
ICML 2017
Sampling Matters in Deep Embedding Learning
ICCV 2017
Trend Filtering on Graphs
JMLR 2016
Scaling Distributed Machine Learning with the Parameter Server
OSDI 2014
Nonparametric Quantile Estimation
JMLR 2006
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
JMLR 2006
Learning the Kernel with Hyperkernels
JMLR 2005
Minimal Kernel Classifiers
JMLR 2002
Regularized Principal Manifolds
JMLR 2001