wovepaper — the arXiv observatory

papers

Publications (21)

cs.LG2018

ActiveRemediation: The Search for Lead Pipes in Flint, Michigan

Jacob Abernethy, Alex Chojnacki, Arya Farahi +2

cs.LG2015

Fighting Bandits with a New Kind of Smoothness

Jacob Abernethy, Chansoo Lee, Ambuj Tewari

cs.AI2017

On Convergence and Stability of GANs

Naveen Kodali, Jacob Abernethy, James Hays +1

cs.LG2016

Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing

Jacob Abernethy, Cyrus Anderson, Chengyu Dai +10

stat.AP2016

Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences

Jacob Abernethy, Cyrus Anderson, Alex Chojnacki +8

cs.AI2014

Information Aggregation in Exponential Family Markets

Jacob Abernethy, Sindhu Kutty, SÃ©bastien Lahaie +1

cs.LG2009

A Stochastic View of Optimal Regret through Minimax Duality

Jacob Abernethy, Alekh Agarwal, Peter L. Bartlett +1

cs.GT2010

An Optimization-Based Framework for Automated Market-Making

Jacob Abernethy, Yiling Chen, Jennifer Wortman Vaughan

cs.LG2010

Blackwell Approachability and Low-Regret Learning are Equivalent

Jacob Abernethy, Peter L. Bartlett, Elad Hazan

cs.LG2017

A Data Science Approach to Understanding Residential Water Contamination in Flint

Alex Chojnacki, Chengyu Dai, Arya Farahi +5

math.OC2015

Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier

Jacob Abernethy, Elad Hazan

cs.LG2006

Low-rank matrix factorization with attributes

Jacob Abernethy, Francis Bach, Theodoros Evgeniou +1

cs.LG2018

Acceleration through Optimistic No-Regret Dynamics

Jun-Kun Wang, Jacob Abernethy

cs.LG2014

Online Linear Optimization via Smoothing

Jacob Abernethy, Chansoo Lee, Abhinav Sinha +1

cs.LG2008

A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization

Jacob Abernethy, Francis Bach, Theodoros Evgeniou +1

q-fin.CP2012

Minimax Option Pricing Meets Black-Scholes in the Limit

Jacob Abernethy, Rafael M. Frongillo, Andre Wibisono

cs.GT2015

Low-Cost Learning via Active Data Procurement

Jacob Abernethy, Yiling Chen, Chien-Ju Ho +1

cs.LG2011

A Collaborative Mechanism for Crowdsourcing Prediction Problems

Jacob Abernethy, Rafael M. Frongillo

cs.LG2018

Faster Rates for Convex-Concave Games

Jacob Abernethy, Kevin A. Lai, Kfir Y. Levy +1

cs.LG2015

Spectral Smoothing via Random Matrix Perturbations

Jacob Abernethy, Chansoo Lee, Ambuj Tewari

cs.GT2016

Publications (21)

ActiveRemediation: The Search for Lead Pipes in Flint, Michigan

Fighting Bandits with a New Kind of Smoothness

On Convergence and Stability of GANs

Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing

Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences

Information Aggregation in Exponential Family Markets

A Stochastic View of Optimal Regret through Minimax Duality

An Optimization-Based Framework for Automated Market-Making

Blackwell Approachability and Low-Regret Learning are Equivalent

A Data Science Approach to Understanding Residential Water Contamination in Flint

Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier

Low-rank matrix factorization with attributes

Acceleration through Optimistic No-Regret Dynamics

Online Linear Optimization via Smoothing

A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization

Minimax Option Pricing Meets Black-Scholes in the Limit

Low-Cost Learning via Active Data Procurement

A Collaborative Mechanism for Crowdsourcing Prediction Problems

Faster Rates for Convex-Concave Games

Spectral Smoothing via Random Matrix Perturbations

Rate of Price Discovery in Iterative Combinatorial Auctions