Jacob D. Abernethy
15 papers · 2010–2023 · 2 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(6)
π§
Keyword Pioneer
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Keyword Champion
π
Trend Setter
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(90)
Venues
Top co-authors
Research topics
Keywords
online learning
(7)
regret bound
(5)
multi-armed bandit
(5)
prediction market
(4)
zero-sum game
(3)
mechanism design
(3)
convex optimization
(2)
differential privacy
(2)
game theory
(2)
bregman divergence
(2)
riemannian manifold
(2)
nash equilibrium
(1)
dynamic regret
(1)
continuous optimization
(1)
binary classification
(1)
adversarial learning
(1)
minimax optimization
(1)
margin maximization
(1)
privacy preservation
(1)
generalization error
(1)
Papers
Faster Margin Maximization Rates for Generic Optimization Methods
NeurIPS 2023
Minimizing Dynamic Regret on Geodesic Metric Spaces
COLT 2023
Riemannian Projection-free Online Learning
NeurIPS 2023
Adaptive Oracle-Efficient Online Learning
NeurIPS 2022
Observation-Free Attacks on Stochastic Bandits
NeurIPS 2021
Learning Auctions with Robust Incentive Guarantees
NeurIPS 2019
Online Learning via the Differential Privacy Lens
NeurIPS 2019
Acceleration through Optimistic No-Regret Dynamics
NeurIPS 2018
On Frank-Wolfe and Equilibrium Computation
NeurIPS 2017
Threshold Bandits, With and Without Censored Feedback
NeurIPS 2016
A Market Framework for Eliciting Private Data
NeurIPS 2015
Fighting Bandits with a New Kind of Smoothness
NeurIPS 2015
A Characterization of Scoring Rules for Linear Properties
COLT 2012
A Collaborative Mechanism for Crowdsourcing Prediction Problems
NeurIPS 2011
Repeated Games against Budgeted Adversaries
NeurIPS 2010