Miroslav Dudík

CoRR, 2024

PcLast: Discovering Plannable Continuous Latent States.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A structured regression approach for evaluating model performance across intersectional subgroups.

[BibT_eX]

[DOI]

Christine Herlihy

Kimberly Truong

Alexandra Chouldechova

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Fairlearn: Assessing and Improving Fairness of AI Systems.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

A Unified Model and Dimension for Interactive Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Convex Analysis at Infinity: An Introduction to Astral Space.

[BibT_eX]

[DOI]

CoRR, 2022

Personalization Improves Privacy-Accuracy Tradeoffs in Federated Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

Provably sample-efficient RL with side information about latent dynamics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Interdisciplinarity, Gender Diversity, and Network Structure Predict the Centrality of AI Organizations.

[BibT_eX]

[DOI]

Madalina Vlasceanu

Forough Poursabzi-Sangdeh

Ida Momennejad

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Responsible computing during COVID-19 and beyond.

[BibT_eX]

[DOI]

Luke Stark

Hanna M. Wallach

Marion Zepf

Commun. ACM, 2021

Bayesian decision-making under misspecified priors with applications to meta-learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Interactive Learning from Activity Description.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Log-time Prediction Markets for Interval Securities.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Oracle-efficient Online Learning and Auction Design.

[BibT_eX]

[DOI]

J. ACM, 2020

Constrained episodic reinforcement learning in concave-convex and knapsack settings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Doubly robust off-policy evaluation with shrinkage.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Gradient descent follows the regularization path for general losses.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2020

2019

Reinforcement Learning with Convex Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Provably efficient RL with Rich Observations via Latent State Decoding.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Fair Regression: Quantitative Definitions and Reduction-Based Algorithms.

[BibT_eX]

[DOI]

Zhiwei Steven Wu

Proceedings of the 36th International Conference on Machine Learning, 2019

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?

[BibT_eX]

[DOI]

Kenneth Holstein

Hal Daumé III

Hanna M. Wallach

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Practical Contextual Bandits with Regression Oracles.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

A Reductions Approach to Fair Classification.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Hierarchical Imitation and Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Off-policy evaluation for slate recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Decomposition of Forecast Error in Prediction Markets.

[BibT_eX]

[DOI]

Sébastien Lahaie

Ryan M. Rogers

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Optimal and Adaptive Off-policy Evaluation in Contextual Bandits.

[BibT_eX]

[DOI]

Yu-Xiang Wang

Proceedings of the 34th International Conference on Machine Learning, 2017

The group k-support norm for learning with structured sparsity.

[BibT_eX]

[DOI]

Nikhil Rao

Zaïd Harchaoui

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Oracle-Efficient Learning and Auction Design.

[BibT_eX]

[DOI]

CoRR, 2016

Arbitrage-Free Combinatorial Market Making via Integer Programming.

[BibT_eX]

[DOI]

Christian Kroer

Sébastien Lahaie

Sivaraman Balakrishnan

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Contextual semibandits via supervised learning oracles.

[BibT_eX]

[DOI]

Akshay Krishnamurthy

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

2015

Convex Risk Minimization and Conditional Probability Estimation.

[BibT_eX]

[DOI]

Matus Telgarsky

CoRR, 2015

Efficient Contextual Semi-Bandit Learning.

[BibT_eX]

[DOI]

Akshay Krishnamurthy

CoRR, 2015

Doubly Robust Policy Evaluation and Optimization.

[BibT_eX]

[DOI]

CoRR, 2015

Budget Constraints in Prediction Markets.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Convex Risk Minimization and Conditional Probability Estimation.

[BibT_eX]

[DOI]

Matus Telgarsky

Proceedings of The 28th Conference on Learning Theory, 2015

Contextual Dueling Bandits.

[BibT_eX]

[DOI]

Proceedings of The 28th Conference on Learning Theory, 2015

2014

A reliable effective terascale linear learning system.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Market Making with Decreasing Utility for Information.

[BibT_eX]

[DOI]

Rafael M. Frongillo

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Robust Multi-objective Learning with Mentor Feedback.

[BibT_eX]

[DOI]

Ashwinkumar Badanidiyuru

Aleksandrs Slivkins

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Para-active learning.

[BibT_eX]

[DOI]

CoRR, 2013

A combinatorial prediction market for the U.S. elections.

[BibT_eX]

[DOI]

Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013

2012

Lifted coordinate descent for learning with trace-norm regularization.

[BibT_eX]

[DOI]

Zaïd Harchaoui

Jérôme Malick

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Contextual Bandit Learning with Predictable Rewards.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

A tractable combinatorial market maker using constraint generation.

[BibT_eX]

[DOI]

Sébastien Lahaie

David M. Pennock

Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

Identifying Culture and Leveraging Cultural Differences for Negotiation Agents.

[BibT_eX]

[DOI]

Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

Large-scale image classification with trace-norm regularization.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Efficient Optimal Learning for Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

Doubly Robust Policy Evaluation and Learning.

[BibT_eX]

[DOI]

John Langford

Lihong Li

Proceedings of the 28th International Conference on Machine Learning, 2011

Maximizing revenue in symmetric resource allocation systems when user utilities exhibit diminishing returns.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010

Reducing Untruthful Manipulation in Envy-Free Pareto Optimal Resource Allocation.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2010

2009

First-Order Mixed Integer Linear Programming.

[BibT_eX]

[DOI]

Geoffrey J. Gordon

Sue Ann Hong

Proceedings of the UAI 2009, 2009

A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games.

[BibT_eX]

[DOI]

Geoffrey J. Gordon

Proceedings of the UAI 2009, 2009

2008

Generative and Discriminative Learning with Unknown Labeling Bias.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2007

PU-BCD: Exponential Family Models for the Coarse- and Fine-Grained All-Words Tasks.

[BibT_eX]

[DOI]

Jonathan D. Chang

David M. Blei

Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

Hierarchical maximum entropy density estimation.

[BibT_eX]

[DOI]

David M. Blei

Proceedings of the Machine Learning, 2007

2006

Maximum Entropy Distribution Estimation with Generalized Regularization.

[BibT_eX]

[DOI]

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005

Correcting sample selection bias in maximum entropy density estimation.

[BibT_eX]

[DOI]

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

2004

A maximum entropy approach to species distribution modeling.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Performance Guarantees for Regularized Maximum Entropy Density Estimation.

[BibT_eX]

[DOI]

Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2003

Reconstruction from subsequences.

[BibT_eX]

[DOI]