Martin Zinkevich

Publication Activity (10 Years)

Years Active: 2001-2020
Publications (10 Years): 8

Top Topics

Confidence Bounds

Machine Learning

Multi Armed Bandit Problems

Top Venues

SIGMOD Conference

Publications

Emily Caveness, Paul Suganthan G. C., Zhuo Peng, Neoklis Polyzotis, Sudip Roy, Martin Zinkevich
TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines. SIGMOD Conference (2020)
Eric Breck, Neoklis Polyzotis, Sudip Roy, Steven Whang, Martin Zinkevich
Data Validation for Machine Learning. MLSys (2019)
Denis Baylor, Kevin Haas, Konstantinos Katsiapis, Sammy Leong, Rose Liu, Clemens Mewald, Hui Miao, Neoklis Polyzotis, Mitchell Trott, Martin Zinkevich
Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform. OpML (2019)
Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich
Data Lifecycle Challenges in Production Machine Learning: A Survey. SIGMOD Rec. 47 (2) (2018)
Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich
Data Management Challenges in Production Machine Learning. SIGMOD Conference (2017)
Tyler Lu, Martin Zinkevich, Craig Boutilier, Binz Roy, Dale Schuurmans
Safe Exploration for Identifying Linear Systems via Robust Optimization. CoRR (2017)
Denis Baylor, Eric Breck, Heng-Tze Cheng, Noah Fiedel, Chuan Yu Foo, Zakaria Haque, Salem Haykal, Mustafa Ispir, Vihan Jain, Levent Koc, Chiu Yuen Koo, Lukasz Lew, Clemens Mewald, Akshay Naresh Modi, Neoklis Polyzotis, Sukriti Ramesh, Sudip Roy, Steven Euijong Whang, Martin Wicke, Jarek Wilkiewicz, Xin Zhang, Martin Zinkevich
TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. KDD (2017)
Dale Schuurmans, Martin Zinkevich
Deep Learning Games. NIPS (2016)
Nolan Bard, John Alexander Hawkin, Jonathan Rubin, Martin Zinkevich
The Annual Computer Poker Competition. AI Mag. 34 (2) (2013)
Michael L. Littman, Nishkam Ravi, Arjun Talwar, Martin Zinkevich
An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees. CoRR (2012)
Marc Lanctot, Richard G. Gibson, Neil Burch, Martin Zinkevich, Michael H. Bowling
No-Regret Learning in Extensive-Form Games with Imperfect Recall CoRR (2012)
Michael Bowling, Martin Zinkevich
On Local Regret CoRR (2012)
Michael Bowling, Martin Zinkevich
On Local Regret. ICML (2012)
Sandeep Pandey, Mohamed Aly, Abraham Bagherjeiran, Andrew O. Hatch, Peter Ciccolo, Adwait Ratnaparkhi, Martin Zinkevich
Learning to target: what works for behavioral targeting. CIKM (2011)
Wei Chu, Martin Zinkevich, Lihong Li, Achint Thomas, Belle L. Tseng
Unbiased online active learning in data streams. KDD (2011)
Michael Johanson, Kevin Waugh, Michael H. Bowling, Martin Zinkevich
Accelerating Best Response Calculation in Large Extensive Games. IJCAI (2011)
Sandra Zilles, Steffen Lange, Robert Holte, Martin Zinkevich
Models of Cooperative Teaching and Learning. J. Mach. Learn. Res. 12 (2011)
Martin Zinkevich, Michael H. Bowling, Michael Wunder
The lemonade stand game competition: solving unsolvable games. SIGecom Exch. 10 (1) (2011)
Martin Zinkevich, Markus Weimer, Alexander J. Smola, Lihong Li
Parallelized Stochastic Gradient Descent. NIPS (2010)
Arpita Ghosh, Benjamin I. P. Rubinstein, Sergei Vassilvitskii, Martin Zinkevich
Adaptive bidding for display advertising. WWW (2009)
Martin Zinkevich, Alexander J. Smola, John Langford
Slow Learners are Fast. NIPS (2009)
Kevin Waugh, Martin Zinkevich, Michael Johanson, Morgan Kan, David Schnizlein, Michael H. Bowling
A Practical Use of Imperfect Recall. SARA (2009)
Michael H. Bowling, Nicholas Abou Risk, Nolan Bard, Darse Billings, Neil Burch, Joshua Davidson, John Alexander Hawkin, Robert Holte, Michael Johanson, Morgan Kan, Bryce Paradis, Jonathan Schaeffer, David Schnizlein, Duane Szafron, Kevin Waugh, Martin Zinkevich
A demonstration of the Polaris poker system. AAMAS (2) (2009)
Marc Lanctot, Kevin Waugh, Martin Zinkevich, Michael H. Bowling
Monte Carlo Sampling for Regret Minimization in Extensive Games. NIPS (2009)
Sandra Zilles, Steffen Lange, Robert Holte, Martin Zinkevich
Teaching Dimensions based on Cooperative Learning. COLT (2008)
Alireza Farhangfar, Russell Greiner, Martin Zinkevich
A Fast Way to Produce Optimal Fixed-Depth Decision Trees. ISAIM (2008)
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich
(Approximate) Subgradient Methods for Structured Prediction. AISTATS (2007)
Martin Zinkevich, Michael H. Bowling, Neil Burch
A New Algorithm for Generating Equilibria in Massive Zero-Sum Games. AAAI (2007)
Michael Johanson, Martin Zinkevich, Michael H. Bowling
Computing Robust Counter-Strategies. NIPS (2007)
Martin Zinkevich, Michael Johanson, Michael H. Bowling, Carmelo Piccione
Regret Minimization in Games with Incomplete Information. NIPS (2007)
Martin Zinkevich, Amy Greenwald, Michael L. Littman
A hierarchy of prescriptive goals for multiagent learning. Artif. Intell. 171 (7) (2007)
Achim Rettinger, Martin Zinkevich, Michael H. Bowling
Boosting Expert Ensembles for Rapid Concept Recall. AAAI (2006)
Nathan R. Sturtevant, Martin Zinkevich, Michael H. Bowling
Prob-Maxn: Playing N-Player Games with Opponent Models. AAAI (2006)
Martin Zinkevich, Michael H. Bowling, Nolan Bard, Morgan Kan, Darse Billings
Optimal Unbiased Estimators for Evaluating Agent Performance. AAAI (2006)
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich
Maximum margin planning. ICML (2006)
Avrim Blum, Tuomas Sandholm, Martin Zinkevich
Online algorithms for market clearing. J. ACM 53 (5) (2006)
Alborz Geramifard, Michael H. Bowling, Martin Zinkevich, Richard S. Sutton
iLSTD: Eligibility Traces and Convergence Analysis. NIPS (2006)
Michael L. Littman, Nishkam Ravi, Arjun Talwar, Martin Zinkevich
An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees. UAI (2006)
Martin Zinkevich, Amy Greenwald, Michael L. Littman
Cyclic Equilibria in Markov Games. NIPS (2005)
Martin Zinkevich
Response Regret. AAAI Fall Symposium: Coevolutionary and Coadaptive Systems (2005)
Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, Martin Zinkevich
Preference Elicitation and Query Learning. J. Mach. Learn. Res. 5 (2004)
Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, Martin Zinkevich
Preference Elicitation and Query Learning. COLT (2003)
Martin Zinkevich
Online Convex Programming and Generalized Infinitesimal Gradient Ascent. ICML (2003)
Martin Zinkevich, Avrim Blum, Tuomas Sandholm
On polynomial-time preference elicitation with value queries. EC (2003)
Avrim Blum, Tuomas Sandholm, Martin Zinkevich
Online algorithms for market clearing. SODA (2002)
John Langford, Martin Zinkevich, Sham M. Kakade
Competitive Analysis of the Explore/Exploit Tradeoff. ICML (2002)
Martin Zinkevich, Tucker R. Balch
Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning. ICML (2001)