Dean P. Foster
18 papers · 2006–2023 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (18) π Academic Marathon (17)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(6)
π
Keyword Trendsetter Combo
(7)
π₯
Unstoppable
(5)
π
Century Club
(18)
π
Trend Setter
π
Conference Pioneer
ποΈ
Keyword Collector
(96)
β‘
Prolific Year
(5)
Conferences
NIPS (10)
JMLR (4)
ACL (1)
ALT (1)
COLT (1)
NAACL (1)
Top co-authors
Keywords
ridge regression
(3)
online learning
(3)
sample complexity
(2)
randomized algorithm
(2)
multi-view learning
(2)
reinforcement learning
(2)
high-dimensional regression
(2)
canonical correlation analysis
(2)
regret bound
(2)
randomized hadamard transform
(2)
dimensionality reduction
(2)
singular value decomposition
(2)
least square
(2)
convex optimization
(1)
policy optimization
(1)
imitation learning
(1)
non-convex optimization
(1)
learning theory
(1)
stochastic optimization
(1)
named entity recognition
(1)
Papers
Linear Reinforcement Learning with Ball Structure Action Space
ALT 2023
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
NIPS 2022
The Benefits of Implicit Regularization from SGD in Least Squares Problems
NIPS 2021
Dynamic Local Regret for Non-convex Online Forecasting
NIPS 2019
Eigenwords: Spectral Word Embeddings
JMLR 2015
Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity
JMLR 2014
large scale canonical correlation analysis with iterative least squares
NIPS 2014
Experiments with Spectral Learning of Latent-Variable PCFGs
NAACL 2013
New Subsampling Algorithms for Fast Least Squares Regression
NIPS 2013
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform
NIPS 2013
One-shot learning and big data with n=2
NIPS 2013
A Risk Comparison of Ordinary Least Squares vs Ridge Regression
JMLR 2013
A Spectral Algorithm for Latent Dirichlet Allocation
NIPS 2012
Spectral Learning of Latent-Variable PCFGs
ACL 2012
Complexity-Based Approach to Calibration with Checking Rules
COLT 2011
Stochastic convex optimization with bandit feedback
NIPS 2011
Multi-View Learning of Word Embeddings via CCA
NIPS 2011
Streamwise Feature Selection
JMLR 2006