More from the Same Authors

• 2022 : Accelerated Federated Optimization with Quantization »
  Yeojoon Youn · Bhuvesh Kumar · Jacob Abernethy
• 2022 Poster: Adaptive Oracle-Efficient Online Learning »
  Guanghui Wang · Zihao Hu · Vidya Muthukumar · Jacob Abernethy
• 2021 Poster: Observation-Free Attacks on Stochastic Bandits »
  Yinglun Xu · Bhuvesh Kumar · Jacob Abernethy
• 2019 Poster: Online Learning via the Differential Privacy Lens »
  Jacob Abernethy · Young H Jung · Chansoo Lee · Audra McMillan · Ambuj Tewari
• 2019 Spotlight: Online Learning via the Differential Privacy Lens »
  Jacob Abernethy · Young H Jung · Chansoo Lee · Audra McMillan · Ambuj Tewari
• 2019 Poster: Learning Auctions with Robust Incentive Guarantees »
  Jacob Abernethy · Rachel Cummings · Bhuvesh Kumar · Sam Taggart · Jamie Morgenstern
• 2018 : Panel discussion: Opportunities to organize new impactful challenges. »
  Jacob Abernethy
• 2018 Workshop: CiML 2018 - Machine Learning competitions "in the wild": Playing in the real world or in real time »
  Isabelle Guyon · Evelyne Viegas · Sergio Escalera · Jacob D Abernethy
• 2018 : Building Algorithms by Playing Games »
  Jacob D Abernethy
• 2018 Poster: Acceleration through Optimistic No-Regret Dynamics »
  Jun-Kun Wang · Jacob Abernethy
• 2018 Spotlight: Acceleration through Optimistic No-Regret Dynamics »
  Jun-Kun Wang · Jacob Abernethy
• 2017 Workshop: Machine Learning Challenges as a Research Tool »
  Isabelle Guyon · Evelyne Viegas · Sergio Escalera · Jacob D Abernethy
• 2017 Poster: On Frank-Wolfe and Equilibrium Computation »
  Jacob D Abernethy · Jun-Kun Wang
• 2017 Spotlight: On Frank-Wolfe and Equilibrium Computation »
  Jacob D Abernethy · Jun-Kun Wang
• 2016 Poster: Threshold Bandits, With and Without Censored Feedback »
  Jacob D Abernethy · Kareem Amin · Ruihao Zhu
• 2015 Poster: Fighting Bandits with a New Kind of Smoothness »
  Jacob D Abernethy · Chansoo Lee · Ambuj Tewari
• 2015 Poster: A Market Framework for Eliciting Private Data »
  Bo Waggoner · Rafael Frongillo · Jacob D Abernethy
• 2014 Workshop: NIPS Workshop on Transactional Machine Learning and E-Commerce »
  David Parkes · David H Wolpert · Jennifer Wortman Vaughan · Jacob D Abernethy · Amos Storkey · Mark Reid · Ping Jin · Nihar Bhadresh Shah · Mehryar Mohri · Luis E Ortiz · Robin Hanson · Aaron Roth · Satyen Kale · Sebastien Lahaie
• 2013 Poster: Minimax Optimal Algorithms for Unconstrained Linear Optimization »
  Brendan McMahan · Jacob D Abernethy
• 2013 Poster: Adaptive Market Making via Online Learning »
  Jacob D Abernethy · Satyen Kale
• 2013 Poster: How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal »
  Jacob D Abernethy · Peter Bartlett · Rafael Frongillo · Andre Wibisono
• 2013 Spotlight: How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal »
  Jacob D Abernethy · Peter Bartlett · Rafael Frongillo · Andre Wibisono
• 2013 Oral: Adaptive Market Making via Online Learning »
  Jacob D Abernethy · Satyen Kale
• 2011 Poster: A Collaborative Mechanism for Crowdsourcing Prediction Problems »
  Jacob D Abernethy · Rafael Frongillo
• 2011 Oral: A Collaborative Mechanism for Crowdsourcing Prediction Problems »
  Jacob D Abernethy · Rafael Frongillo
• 2010 Poster: Repeated Games against Budgeted Adversaries »
  Jacob D Abernethy · Manfred K. Warmuth