Martin Zinkevich

According to our database, Martin Zinkevich authored at least 45 papers between 2001 and 2020.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2020

TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines.

Emily Caveness, Paul Suganthan G. C., Zhuo Peng, Neoklis Polyzotis, Sudip Roy, Martin Zinkevich

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform.

Denis Baylor, Kevin Haas, Konstantinos Katsiapis, Sammy Leong, Rose Liu, Clemens Mewald, Hui Miao, Neoklis Polyzotis, Mitchell Trott, Martin Zinkevich

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Data Validation for Machine Learning.

Eric Breck, Neoklis Polyzotis, Sudip Roy, Steven Whang, Martin Zinkevich

Proceedings of Machine Learning and Systems 2019, 2019

2018

Data Lifecycle Challenges in Production Machine Learning: A Survey.

Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich

SIGMOD Rec., 2018

2017

Safe Exploration for Identifying Linear Systems via Robust Optimization.

Tyler Lu, Martin Zinkevich, Craig Boutilier, Binz Roy, Dale Schuurmans

CoRR, 2017

Holographic Feature Representations of Deep Networks.

Martin A. Zinkevich, Alex Davies, Dale Schuurmans

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Data Management Challenges in Production Machine Learning.

Neoklis Polyzotis, Sudip Roy, Steven Euijong Whang, Martin Zinkevich

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform.

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

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Formalizing Anthropomorphism Through Games: A Study in Deep Neural Networks.

Martin A. Zinkevich, Dale Schuurmans

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Deep Learning Games.

Dale Schuurmans, Martin Zinkevich

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2013

The Annual Computer Poker Competition.

Nolan Bard, John Alexander Hawkin, Jonathan Rubin, Martin Zinkevich

AI Mag., 2013

2012

No-Regret Learning in Extensive-Form Games with Imperfect Recall

Marc Lanctot, Richard G. Gibson, Neil Burch, Martin Zinkevich, Michael H. Bowling

CoRR, 2012

On Local Regret.

Michael Bowling, Martin Zinkevich

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

The lemonade stand game competition: solving unsolvable games.

Martin Zinkevich, Michael H. Bowling, Michael Wunder

SIGecom Exch., 2011

Models of Cooperative Teaching and Learning.

Sandra Zilles, Steffen Lange, Robert Holte, Martin Zinkevich

J. Mach. Learn. Res., 2011

Unbiased online active learning in data streams.

Wei Chu, Martin Zinkevich, Lihong Li, Achint Thomas, Belle L. Tseng

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Accelerating Best Response Calculation in Large Extensive Games.

Michael Johanson, Kevin Waugh, Michael H. Bowling, Martin Zinkevich

Proceedings of the IJCAI 2011, 2011

Learning to target: what works for behavioral targeting.

Sandeep Pandey, Mohamed Aly, Abraham Bagherjeiran, Andrew O. Hatch, Peter Ciccolo, Adwait Ratnaparkhi, Martin Zinkevich

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Parallelized Stochastic Gradient Descent.

Martin Zinkevich, Markus Weimer, Alexander J. Smola, Lihong Li

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Adaptive bidding for display advertising.

Arpita Ghosh, Benjamin I. P. Rubinstein, Sergei Vassilvitskii, Martin Zinkevich

Proceedings of the 18th International Conference on World Wide Web, 2009

A Practical Use of Imperfect Recall.

Kevin Waugh, Martin Zinkevich, Michael Johanson, Morgan Kan, David Schnizlein, Michael H. Bowling

Proceedings of the Eighth Symposium on Abstraction, Reformulation, and Approximation, 2009

Slow Learners are Fast.

Martin Zinkevich, Alexander J. Smola, John Langford

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Monte Carlo Sampling for Regret Minimization in Extensive Games.

Marc Lanctot, Kevin Waugh, Martin Zinkevich, Michael H. Bowling

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A demonstration of the Polaris poker system.

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

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008

A Fast Way to Produce Optimal Fixed-Depth Decision Trees.

Alireza Farhangfar, Russell Greiner, Martin Zinkevich

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Teaching Dimensions based on Cooperative Learning.

Sandra Zilles, Steffen Lange, Robert Holte, Martin Zinkevich

Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007

(Approximate) Subgradient Methods for Structured Prediction.

Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A hierarchy of prescriptive goals for multiagent learning.

Martin Zinkevich, Amy Greenwald, Michael L. Littman

Artif. Intell., 2007

Regret Minimization in Games with Incomplete Information.

Martin Zinkevich, Michael Johanson, Michael H. Bowling, Carmelo Piccione

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Computing Robust Counter-Strategies.

Michael Johanson, Martin Zinkevich, Michael H. Bowling

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A New Algorithm for Generating Equilibria in Massive Zero-Sum Games.

Martin Zinkevich, Michael H. Bowling, Neil Burch

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Online algorithms for market clearing.

Avrim Blum, Tuomas Sandholm, Martin Zinkevich

J. ACM, 2006

An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees.

Michael L. Littman, Nishkam Ravi, Arjun Talwar, Martin Zinkevich

Proceedings of the UAI '06, 2006

iLSTD: Eligibility Traces and Convergence Analysis.

Alborz Geramifard, Michael H. Bowling, Martin Zinkevich, Richard S. Sutton

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Maximum margin planning.

Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich

Proceedings of the Machine Learning, 2006

Optimal Unbiased Estimators for Evaluating Agent Performance.

Martin Zinkevich, Michael H. Bowling, Nolan Bard, Morgan Kan, Darse Billings

Proceedings of the Proceedings, 2006

Prob-Maxn: Playing N-Player Games with Opponent Models.

Nathan R. Sturtevant, Martin Zinkevich, Michael H. Bowling

Proceedings of the Proceedings, 2006

Boosting Expert Ensembles for Rapid Concept Recall.

Achim Rettinger, Martin Zinkevich, Michael H. Bowling

Proceedings of the Proceedings, 2006

2005

Cyclic Equilibria in Markov Games.

Martin Zinkevich, Amy Greenwald, Michael L. Littman

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Response Regret.

Martin Zinkevich

Proceedings of the Coevolutionary and Coadaptive Systems, 2005

2004

Preference Elicitation and Query Learning.

Avrim Blum, Jeffrey C. Jackson, Tuomas Sandholm, Martin Zinkevich

J. Mach. Learn. Res., 2004

2003

On polynomial-time preference elicitation with value queries.

Martin Zinkevich, Avrim Blum, Tuomas Sandholm

Proceedings of the Proceedings 4th ACM Conference on Electronic Commerce (EC-2003), 2003

Online Convex Programming and Generalized Infinitesimal Gradient Ascent.

Martin Zinkevich

Proceedings of the Machine Learning, 2003

2002

Competitive Analysis of the Explore/Exploit Tradeoff.

John Langford, Martin Zinkevich, Sham M. Kakade

Proceedings of the Machine Learning, 2002

2001

Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning.

Martin Zinkevich, Tucker R. Balch

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001