Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning. - Martin Zinkevich; Tucker R. Balch (ICML, 2001)

Competitive Analysis of the Explore/Exploit Tradeoff. - John Langford 001; Martin Zinkevich; Sham M. Kakade (ICML, 2002)

Online Convex Programming and Generalized Infinitesimal Gradient Ascent. - Martin Zinkevich (ICML, 2003)

On polynomial-time preference elicitation with value queries. - Martin Zinkevich; Avrim Blum; Tuomas Sandholm (EC, 2003)

Preference Elicitation and Query Learning. - Avrim Blum; Jeffrey C. Jackson; Tuomas Sandholm; Martin Zinkevich (J. Mach. Learn. Res., 2004)

Response Regret. - Martin Zinkevich (AAAI Fall Symposium: Coevolutionary and Coadaptive Systems, 2005)

Cyclic Equilibria in Markov Games. - Martin Zinkevich; Amy Greenwald; Michael L. Littman (NIPS, 2005)

Boosting Expert Ensembles for Rapid Concept Recall. - Achim Rettinger; Martin Zinkevich; Michael H. Bowling (AAAI, 2006)

Prob-Maxn: Playing N-Player Games with Opponent Models. - Nathan R. Sturtevant; Martin Zinkevich; Michael H. Bowling (AAAI, 2006)

Optimal Unbiased Estimators for Evaluating Agent Performance. - Martin Zinkevich; Michael H. Bowling; Nolan Bard; Morgan Kan; Darse Billings (AAAI, 2006)

Maximum margin planning. - Nathan D. Ratliff; J. Andrew Bagnell; Martin Zinkevich (ICML, 2006)

iLSTD: Eligibility Traces and Convergence Analysis. - Alborz Geramifard; Michael H. Bowling; Martin Zinkevich; Richard S. Sutton (NIPS, 2006)

An Efficient Optimal-Equilibrium Algorithm for Two-player Game Trees. - Michael L. Littman; Nishkam Ravi; Arjun Talwar; Martin Zinkevich (UAI, 2006)

Online algorithms for market clearing. - Avrim Blum; Tuomas Sandholm; Martin Zinkevich (J. ACM, 2006)

A New Algorithm for Generating Equilibria in Massive Zero-Sum Games. - Martin Zinkevich; Michael H. Bowling; Neil Burch (AAAI, 2007)

Computing Robust Counter-Strategies. - Michael Johanson; Martin Zinkevich; Michael H. Bowling (NIPS, 2007)

Regret Minimization in Games with Incomplete Information. - Martin Zinkevich; Michael Johanson; Michael H. Bowling; Carmelo Piccione (NIPS, 2007)

A hierarchy of prescriptive goals for multiagent learning. - Martin Zinkevich; Amy Greenwald; Michael L. Littman (Artif. Intell., 2007)

(Approximate) Subgradient Methods for Structured Prediction. - Nathan D. Ratliff; J. Andrew Bagnell; Martin Zinkevich (AISTATS, 2007)

Teaching Dimensions based on Cooperative Learning. - Sandra Zilles; Steffen Lange; Robert Holte; Martin Zinkevich (COLT, 2008)

A Fast Way to Produce Optimal Fixed-Depth Decision Trees. - Alireza Farhangfar; Russell Greiner; Martin Zinkevich (ISAIM, 2008)

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 001; et al. (AAMAS (2), 2009)

Monte Carlo Sampling for Regret Minimization in Extensive Games. - Marc Lanctot; Kevin Waugh; Martin Zinkevich; Michael H. Bowling (NIPS, 2009)

Slow Learners are Fast. - Martin Zinkevich; Alexander J. Smola; John Langford 001 (NIPS, 2009)

A Practical Use of Imperfect Recall. - Kevin Waugh; Martin Zinkevich; Michael Johanson; Morgan Kan; David Schnizlein; Michael H. Bowling (SARA, 2009)

Adaptive bidding for display advertising. - Arpita Ghosh; Benjamin I. P. Rubinstein; Sergei Vassilvitskii; Martin Zinkevich (WWW, 2009)

Parallelized Stochastic Gradient Descent. - Martin Zinkevich; Markus Weimer; Alexander J. Smola; Lihong Li 001 (NIPS, 2010)

Learning to target: what works for behavioral targeting. - Sandeep Pandey; Mohamed Aly 002; Abraham Bagherjeiran; Andrew O. Hatch; Peter Ciccolo; Adwait Ratnaparkhi; Martin Zinkevich (CIKM, 2011)

Accelerating Best Response Calculation in Large Extensive Games. - Michael Johanson; Kevin Waugh; Michael H. Bowling; Martin Zinkevich (IJCAI, 2011)

Unbiased online active learning in data streams. - Wei Chu; Martin Zinkevich; Lihong Li 001; Achint Thomas; Belle L. Tseng (KDD, 2011)

Models of Cooperative Teaching and Learning. - Sandra Zilles; Steffen Lange; Robert Holte; Martin Zinkevich (J. Mach. Learn. Res., 2011)

The lemonade stand game competition: solving unsolvable games. - Martin Zinkevich; Michael H. Bowling; Michael Wunder (SIGecom Exch., 2011)

On Local Regret. - Michael Bowling; Martin Zinkevich (ICML, 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)

The Annual Computer Poker Competition. - Nolan Bard; John Alexander Hawkin; Jonathan Rubin; Martin Zinkevich (AI Mag., 2013)

Deep Learning Games. - Dale Schuurmans; Martin Zinkevich (NIPS, 2016)

Formalizing Anthropomorphism Through Games: A Study in Deep Neural Networks. - Martin A. Zinkevich; Dale Schuurmans (AAAI Workshops, 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 001; Chiu Yuen Koo; Lukasz Lew; et al. (KDD, 2017)

Data Management Challenges in Production Machine Learning. - Neoklis Polyzotis; Sudip Roy 002; Steven Euijong Whang; Martin Zinkevich (SIGMOD Conference, 2017)

Holographic Feature Representations of Deep Networks. - Martin A. Zinkevich; Alex Davies; Dale Schuurmans (UAI, 2017)

Safe Exploration for Identifying Linear Systems via Robust Optimization. - Tyler Lu; Martin Zinkevich; Craig Boutilier; Binz Roy; Dale Schuurmans (CoRR, 2017)

Data Lifecycle Challenges in Production Machine Learning: A Survey. - Neoklis Polyzotis; Sudip Roy 002; Steven Euijong Whang; Martin Zinkevich (SIGMOD Rec., 2018)

Data Validation for Machine Learning. - Eric Breck; Neoklis Polyzotis; Sudip Roy 002; Steven Whang 001; Martin Zinkevich (SysML, 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 (OpML, 2019)

TensorFlow Data Validation: Data Analysis and Validation in Continuous ML Pipelines. - Emily Caveness; Paul Suganthan G. C.; Zhuo Peng; Neoklis Polyzotis; Sudip Roy 002; Martin Zinkevich (SIGMOD Conference, 2020)