Vasilis Syrgkanis

Karthik Vinay Seetharaman

CoRR, 2024

Direct Preference Optimization With Unobserved Preference Heterogeneity.

[BibT_eX]

[DOI]

Keertana Chidambaram

CoRR, 2024

Taking a Moment for Distributional Robustness.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic Local Average Treatment Effects.

[BibT_eX]

[DOI]

Ravi B. Sojitra

CoRR, 2024

Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity.

[BibT_eX]

[DOI]

Vahid Balazadeh Meresht

CoRR, 2024

Regularized DeepIV with Model Selection.

[BibT_eX]

[DOI]

CoRR, 2024

Applied Causal Inference Powered by ML and AI.

[BibT_eX]

[DOI]

CoRR, 2024

Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation.

[BibT_eX]

[DOI]

Jikai Jin

CoRR, 2024

Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Instrument Design for Indirect Experiments.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Causal Q-Aggregation for CATE Model Selection.

[BibT_eX]

[DOI]

Hui Lan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity.

[BibT_eX]

[DOI]

Jikai Jin

CoRR, 2023

Source Condition Double Robust Inference on Functionals of Inverse Problems.

[BibT_eX]

[DOI]

CoRR, 2023

Inference on Optimal Dynamic Policies via Softmax Approximation.

[BibT_eX]

[DOI]

Qizhao Chen

CoRR, 2023

Post-Episodic Reinforcement Learning Inference.

[BibT_eX]

[DOI]

Ruohan Zhan

CoRR, 2023

Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness.

[BibT_eX]

[DOI]

CoRR, 2023

Minimax Instrumental Variable Regression and L<sub>2</sub> Convergence Guarantees without Identification or Closedness.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Inference on Strongly Identified Functionals of Weakly Identified Functions.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Multi-Item Nontruthful Auctions Achieve Good Revenue.

[BibT_eX]

[DOI]

SIAM J. Comput., 2022

Bayesian Exploration: Incentivizing Exploration in Bayesian Games.

[BibT_eX]

[DOI]

Oper. Res., 2022

Learning in auctions: Regret is hard, envy is easy.

[BibT_eX]

[DOI]

Games Econ. Behav., 2022

Empirical Analysis of Model Selection for Heterogenous Causal Effect Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

Synthetic Blip Effects: Generalizing Synthetic Controls for the Dynamic Treatment Regime.

[BibT_eX]

[DOI]

Anish Agarwal

CoRR, 2022

Automatic Debiased Machine Learning for Dynamic Treatment Effects.

[BibT_eX]

[DOI]

Rahul Singh

CoRR, 2022

Robust Generalized Method of Moments: A Finite Sample Viewpoint.

[BibT_eX]

[DOI]

Dhruv Rohatgi

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

Partial Identification of Treatment Effects with Implicit Generative Models.

[BibT_eX]

[DOI]

Vahid Balazadeh Meresht

Rahul G. Krishnan

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

Debiased Machine Learning without Sample-Splitting for Stable Estimators.

[BibT_eX]

[DOI]

Qizhao Chen

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

RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests.

[BibT_eX]

[DOI]

Victor Chernozhukov

Whitney Newey

Victor Quintas-Martinez

Proceedings of the International Conference on Machine Learning, 2022

Non-parametric Inference Adaptive to Intrinsic Dimension.

[BibT_eX]

[DOI]

Khashayar Khosravi

Greg Lewis

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Towards efficient representation identification in supervised learning.

[BibT_eX]

[DOI]

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Combinatorial Assortment Optimization.

[BibT_eX]

[DOI]

ACM Trans. Economics and Comput., 2021

Omitted Variable Bias in Machine Learned Causal Models.

[BibT_eX]

[DOI]

CoRR, 2021

DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions.

[BibT_eX]

[DOI]

CoRR, 2021

Evidence-Based Policy Learning.

[BibT_eX]

[DOI]

Jann Spiess

CoRR, 2021

Adversarial Estimation of Riesz Representers.

[BibT_eX]

[DOI]

CoRR, 2021

Bid Prediction in Repeated Auctions with Learning.

[BibT_eX]

[DOI]

Gali Noti

Proceedings of the WWW '21: The Web Conference 2021, 2021

Dynamically Aggregating Diverse Information.

[BibT_eX]

[DOI]

Annie Liang

Xiaosheng Mu

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Double/Debiased Machine Learning for Dynamic Treatment Effects.

[BibT_eX]

[DOI]

Greg Lewis

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

Estimating the Long-Term Effects of Novel Treatments.

[BibT_eX]

[DOI]

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

Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection.

[BibT_eX]

[DOI]

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

Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Incentivizing Compliance with Algorithmic Instruments.

[BibT_eX]

[DOI]

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

Knowledge Distillation as Semiparametric Inference.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Oracle-efficient Online Learning and Auction Design.

[BibT_eX]

[DOI]

Jennifer Wortman Vaughan

J. ACM, 2020

Bayesian Incentive-Compatible Bandit Exploration.

[BibT_eX]

[DOI]

Yishay Mansour

Aleksandrs Slivkins

Oper. Res., 2020

Asymptotics of the Empirical Bootstrap Method Beyond Asymptotic Normality.

[BibT_eX]

[DOI]

CoRR, 2020

Simple, Credible, and Approximately-Optimal Auctions.

[BibT_eX]

[DOI]

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Minimax Estimation of Conditional Moment Models.

[BibT_eX]

[DOI]

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

Statistical Learning with a Nuisance Component (Extended Abstract).

[BibT_eX]

[DOI]

Dylan J. Foster

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Estimation and Inference with Trees and Forests in High Dimensions.

[BibT_eX]

[DOI]

Manolis Zampetakis

Proceedings of the Conference on Learning Theory, 2020

2019

Information Asymmetries in Common-Value Auctions with Discrete Signals.

[BibT_eX]

[DOI]

David Kempe

Math. Oper. Res., 2019

Orthogonal Statistical Learning.

[BibT_eX]

[DOI]

Dylan J. Foster

CoRR, 2019

Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments.

[BibT_eX]

[DOI]

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

Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing.

[BibT_eX]

[DOI]

Jonas Mueller

Matt Taddy

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

Semi-Parametric Efficient Policy Learning with Continuous Actions.

[BibT_eX]

[DOI]

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

Orthogonal Random Forest for Causal Inference.

[BibT_eX]

[DOI]

Miruna Oprescu

Zhiwei Steven Wu

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

Statistical Learning with a Nuisance Component.

[BibT_eX]

[DOI]

Dylan J. Foster

Proceedings of the Conference on Learning Theory, 2019

2018

Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models.

[BibT_eX]

[DOI]

CoRR, 2018

Orthogonal Random Forest for Heterogeneous Treatment Effect Estimation.

[BibT_eX]

[DOI]

Miruna Oprescu

Zhiwei Steven Wu

CoRR, 2018

Adversarial Generalized Method of Moments.

[BibT_eX]

[DOI]

Greg Lewis

CoRR, 2018

Simple vs Optimal Contests with Convex Costs.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Truthful Multi-Parameter Auctions with Online Supply: an Impossible Combination.

[BibT_eX]

[DOI]

Nikhil R. Devanur

Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

Optimal and Myopic Information Acquisition.

[BibT_eX]

[DOI]

Annie Liang

Xiaosheng Mu

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Optimal Data Acquisition for Statistical Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Learning to Bid Without Knowing your Value.

[BibT_eX]

[DOI]

Zhe Feng

Chara Podimata

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

On Revenue-Maximizing Mechanisms Assuming Convex Costs.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Game Theory - 11th International Symposium, 2018

Expert identification of visual primitives used by CNNs during mammogram classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Orthogonal Machine Learning: Power and Limitations.

[BibT_eX]

[DOI]

Ilias Zadik

Lester W. Mackey

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

Semiparametric Contextual Bandits.

[BibT_eX]

[DOI]

Akshay Krishnamurthy

Zhiwei Steven Wu

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

Accurate Inference for Adaptive Linear Models.

[BibT_eX]

[DOI]

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

Training GANs with Optimism.

[BibT_eX]

[DOI]

Andrew Ilyas

Haoyang Zeng

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

The Price of Anarchy in Auctions.

[BibT_eX]

[DOI]

Tim Roughgarden

J. Artif. Intell. Res., 2017

Inference on Auctions with Weak Assumptions on Information.

[BibT_eX]

[DOI]

Elie Tamer

Juba Ziani

CoRR, 2017

A Proof of Orthogonal Double Machine Learning with Z-Estimators.

[BibT_eX]

[DOI]

CoRR, 2017

Optimal Learning from Multiple Information Sources.

[BibT_eX]

[DOI]

Annie Liang

Xiaosheng Mu

CoRR, 2017

Simple vs Optimal Mechanisms in Auctions with Convex Payments.

[BibT_eX]

[DOI]

CoRR, 2017

Fast convergence of learning in games (invited talk).

[BibT_eX]

[DOI]

Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017

A Sample Complexity Measure with Applications to Learning Optimal Auctions.

[BibT_eX]

[DOI]

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

Welfare Guarantees from Data.

[BibT_eX]

[DOI]

Darrell Hoy

Denis Nekipelov

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

Robust Optimization for Non-Convex Objectives.

[BibT_eX]

[DOI]

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

2016

Optimal Auctions with Convex Perceived Payments.

[BibT_eX]

[DOI]

CoRR, 2016

Oracle-Efficient Learning and Auction Design.

[BibT_eX]

[DOI]

Jennifer Wortman Vaughan

CoRR, 2016

Bounded Rationality in Wagering Mechanisms.

[BibT_eX]

[DOI]

David M. Pennock

Jennifer Wortman Vaughan

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

The price of anarchy in large games.

[BibT_eX]

[DOI]

Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, 2016

Learning and Efficiency in Games with Dynamic Population.

[BibT_eX]

[DOI]

Thodoris Lykouris

Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits.

[BibT_eX]

[DOI]

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

Efficient Algorithms for Adversarial Contextual Learning.

[BibT_eX]

[DOI]

Akshay Krishnamurthy

Robert E. Schapire

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Algorithmic game theory and econometrics.

[BibT_eX]

[DOI]

SIGecom Exch., 2015

Pricing Queries Approximately Optimally.

[BibT_eX]

[DOI]

Johannes Gehrke

CoRR, 2015

Price of Stability in Games of Incomplete Information.

[BibT_eX]

[DOI]

CoRR, 2015

Robust Data-Driven Efficiency Guarantees in Auctions.

[BibT_eX]

[DOI]

Darrell Hoy

Denis Nekipelov

CoRR, 2015

No-Regret Learning in Repeated Bayesian Games.

[BibT_eX]

[DOI]

Jason D. Hartline

CoRR, 2015

Multi-parameter Auctions with Online Supply.

[BibT_eX]

[DOI]

Nikhil R. Devanur

CoRR, 2015

Social Status and Badge Design.

[BibT_eX]

[DOI]

Nicole Immorlica

Gregory Stoddard

Proceedings of the 24th International Conference on World Wide Web, 2015

Econometrics for Learning Agents.

[BibT_eX]

[DOI]

Denis Nekipelov

Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

Greedy Algorithms Make Efficient Mechanisms.

[BibT_eX]

[DOI]

Brendan Lucier

Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

Simple Auctions with Simple Strategies.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

Fast Convergence of Regularized Learning in Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

No-Regret Learning in Bayesian Games.

[BibT_eX]

[DOI]

Jason D. Hartline

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Efficiency of Mechanisms in Complex Markets.

[BibT_eX]

Vasileios Syrgkanis

PhD thesis, 2014

A Unifying Hierarchy of Valuations with Complements and Substitutes.

[BibT_eX]

[DOI]

Electron. Colloquium Comput. Complex., 2014

Strong Price of Anarchy, Utility Games and Coalitional Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Game Theory - 7th International Symposium, 2014

2013

Auctions vs Negotiations in Irregular Markets.

[BibT_eX]

[DOI]

CoRR, 2013

Draft Auctions.

[BibT_eX]

[DOI]

Nikhil R. Devanur

Jamie Morgenstern

CoRR, 2013

Strong Price of Anarchy and Coalitional Dynamics.

[BibT_eX]

[DOI]

CoRR, 2013

Vickrey Auctions for Irregular Distributions.

[BibT_eX]

[DOI]

Proceedings of the Web and Internet Economics - 9th International Conference, 2013

Equilibrium in Combinatorial Public Projects.

[BibT_eX]

[DOI]

Proceedings of the Web and Internet Economics - 9th International Conference, 2013

Limits of Efficiency in Sequential Auctions.

[BibT_eX]

[DOI]

Michal Feldman

Brendan Lucier

Proceedings of the Web and Internet Economics - 9th International Conference, 2013

Incentives and Efficiency in Uncertain Collaborative Environments.

[BibT_eX]

[DOI]

Yoram Bachrach

Milan Vojnovic

Proceedings of the Web and Internet Economics - 9th International Conference, 2013

Composable and efficient mechanisms.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Theory of Computing Conference, 2013

Cost-recovering bayesian algorithmic mechanism design.

[BibT_eX]

[DOI]

Hu Fu

Brendan Lucier

Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013

Selfish Resource Allocation in Optical Networks.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Complexity, 8th International Conference, 2013

2012

The dining bidder problem: à la russe et à la française.

[BibT_eX]

[DOI]

Renato Paes Leme

SIGecom Exch., 2012

Bayesian Games and the Smoothness Framework

[BibT_eX]

[DOI]

CoRR, 2012

Lower Bounds on Revenue of Approximately Optimal Auctions.

[BibT_eX]

[DOI]

Omer Tamuz

Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

Sequential auctions and externalities.

[BibT_eX]

[DOI]

Renato Paes Leme

Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012

Bayesian sequential auctions.

[BibT_eX]

[DOI]

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

The curse of simultaneity.

[BibT_eX]

[DOI]

Renato Paes Leme

Proceedings of the Innovations in Theoretical Computer Science 2012, 2012

2010

The Complexity of Equilibria in Cost Sharing Games.

[BibT_eX]

[DOI]