Peter L Bartlett
14 papers · 2013–2020 · 2 venues · across top CS/AI venues
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Achievements
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Deep Specialist
(10)
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Dynamic Duo
(13)
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Century Club Β· Bronze
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Keyword Collector
(96)
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Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory Β· Machine Learning
(13)
Mathematics & Optimization
(12)
Optimization
(12)
Learning Types
(6)
Core Methods
(4)
Artificial Intelligence
(3)
Core AI
(3)
Deep Learning
(2)
Mathematics
(2)
Optimization & Theory Β· Deep Learning
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Methods Β· Data Science & Analytics
(1)
Methods Β· Reinforcement Learning
(1)
Keywords
online learning
(5)
regret bound
(4)
minimax optimization
(4)
minimax strategy
(4)
adversarial learning
(3)
convex optimization
(3)
mirror descent
(3)
stochastic approximation
(2)
first-order method
(2)
accelerated gradient
(2)
square loss
(2)
stochastic optimization
(2)
online prediction
(2)
regret minimization
(2)
convergence analysis
(1)
large margin
(1)
temporal difference learning
(1)
sparse coding
(1)
game theory
(1)
learning theory
(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
NeurIPS 2018
Horizon-Independent Minimax Linear Regression
NeurIPS 2018
Acceleration and Averaging in Stochastic Descent Dynamics
NeurIPS 2017
Alternating minimization for dictionary learning with random initialization
NeurIPS 2017
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem
NeurIPS 2017
Spectrally-normalized margin bounds for neural networks
NeurIPS 2017
Adaptive Averaging in Accelerated Descent Dynamics
NeurIPS 2016
Accelerated Mirror Descent in Continuous and Discrete Time
NeurIPS 2015
Minimax Time Series Prediction
NeurIPS 2015
Efficient Minimax Strategies for Square Loss Games
NeurIPS 2014
Large-Margin Convex Polytope Machine
NeurIPS 2014
How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal
NeurIPS 2013
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
NeurIPS 2013