Alexander J Smola
16 papers · 2013–2023 · 1 conference · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Academic Marathon (10) π Cross-Pollinator (8)
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Renaissance Researcher
(8)
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Taxonomy Completionist
(47)
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Keyword Trendsetter Combo
(3)
ποΈ
Keyword Collector
(97)
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Century Club
(16)
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Trend Setter
π₯
Unstoppable
(5)
Conferences
NIPS (16)
Top co-authors
Keywords
variance reduction
(4)
variational inference
(3)
stochastic optimization
(3)
bayesian inference
(2)
tensor decomposition
(2)
stochastic gradient
(2)
logistic regression
(2)
stochastic gradient descent
(2)
offline reinforcement learning
(1)
transfer learning
(1)
bayesian nonparametrics
(1)
probabilistic modeling
(1)
ensemble learning
(1)
data augmentation
(1)
non-convex optimization
(1)
model distillation
(1)
knowledge distillation
(1)
finite-sum optimization
(1)
latent dirichlet allocation
(1)
nonconvex optimization
(1)
Papers
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
NIPS 2023
Graph Reordering for Cache-Efficient Near Neighbor Search
NIPS 2022
Faster Deep Reinforcement Learning with Slower Online Network
NIPS 2022
Adaptive Interest for Emphatic Reinforcement Learning
NIPS 2022
Continuous Doubly Constrained Batch Reinforcement Learning
NIPS 2021
Deep Explicit Duration Switching Models for Time Series
NIPS 2021
Mixture Proportion Estimation and PU Learning:A Modern Approach
NIPS 2021
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
NIPS 2020
Deep Sets
NIPS 2017
Variance Reduction in Stochastic Gradient Langevin Dynamics
NIPS 2016
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
NIPS 2016
Fast and Guaranteed Tensor Decomposition via Sketching
NIPS 2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
NIPS 2015
Spectral Methods for Indian Buffet Process Inference
NIPS 2014
Communication Efficient Distributed Machine Learning with the Parameter Server
NIPS 2014
Variance Reduction for Stochastic Gradient Optimization
NIPS 2013