Peter L Bartlett
14 papers · 2013–2020 · 2 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Conference Polyglot (2)
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Hot Topic Early Bird
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Interdisciplinary Bridge
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Conference Polyglot
(2)
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Dynamic Duo
(13)
ποΈ
Keyword Collector
(85)
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Trend Setter
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Century Club
(14)
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Unstoppable
(6)
Conferences
NIPS (13)
COLT (1)
Top co-authors
Keywords
regret bound
(4)
online learning
(4)
minimax optimization
(4)
minimax strategy
(4)
adversarial learning
(3)
mirror descent
(3)
convex optimization
(3)
regret minimization
(2)
accelerated gradient
(2)
online prediction
(2)
stochastic optimization
(2)
convergence analysis
(1)
large margin
(1)
sparse coding
(1)
learning theory
(1)
game theory
(1)
stochastic gradient descent
(1)
markov decision process
(1)
time series prediction
(1)
binary classification
(1)
Papers
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
COLT 2020
Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation
NIPS 2018
Horizon-Independent Minimax Linear Regression
NIPS 2018
Alternating minimization for dictionary learning with random initialization
NIPS 2017
Acceleration and Averaging in Stochastic Descent Dynamics
NIPS 2017
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem
NIPS 2017
Spectrally-normalized margin bounds for neural networks
NIPS 2017
Adaptive Averaging in Accelerated Descent Dynamics
NIPS 2016
Accelerated Mirror Descent in Continuous and Discrete Time
NIPS 2015
Minimax Time Series Prediction
NIPS 2015
Efficient Minimax Strategies for Square Loss Games
NIPS 2014
Large-Margin Convex Polytope Machine
NIPS 2014
How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal
NIPS 2013
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
NIPS 2013