Stefan Wager

According to our database, Stefan Wager authored at least 37 papers between 2000 and 2024.

Collaborative distances:

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

2024

Off-Policy Evaluation in Markov Decision Processes under Weak Distributional Overlap.

Mohammad Mehrabi, Stefan Wager

CoRR, 2024

2023

Offline Multi-Action Policy Learning: Generalization and Optimization.

Zhengyuan Zhou, Susan Athey, Stefan Wager

Oper. Res., January, 2023

Experimenting under Stochastic Congestion.

Shuangning Li, Ramesh Johari, Stefan Wager, Kuang Xu

CoRR, 2023

2022

Smoothness-Adaptive Contextual Bandits.

Yonatan Gur, Ahmadreza Momeni, Stefan Wager

Oper. Res., November, 2022

Learning from a Biased Sample.

Roshni Sahoo, Lihua Lei, Stefan Wager

CoRR, 2022

Policy Learning with Competing Agents.

Roshni Sahoo, Stefan Wager

CoRR, 2022

Partial likelihood Thompson sampling.

Han Wu, Stefan Wager

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Thompson Sampling with Unrestricted Delays.

Han Wu, Stefan Wager

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

2021

Experimenting in Equilibrium.

Stefan Wager, Kuang Xu

Manag. Sci., 2021

Local Linear Forests.

Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager

J. Comput. Graph. Stat., 2021

Off-Policy Evaluation in Partially Observed Markov Decision Processes.

Yuchen Hu, Stefan Wager

CoRR, 2021

Diffusion Asymptotics for Sequential Experiments.

Stefan Wager, Kuang Xu

CoRR, 2021

2020

policytree: Policy learning via doubly robust empirical welfare maximization over trees.

Erik Sverdrup, Ayush Kanodia, Zhengyuan Zhou, Susan Athey, Stefan Wager

J. Open Source Softw., 2020

Estimating heterogeneous treatment effects with right-censored data via causal survival forests.

Yifan Cui, Michael R. Kosorok, Stefan Wager, Ruoqing Zhu

CoRR, 2020

2019

Confidence Intervals for Policy Evaluation in Adaptive Experiments.

Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey

CoRR, 2019

Smoothness-Adaptive Stochastic Bandits.

Yonatan Gur, Ahmadreza Momeni, Stefan Wager

CoRR, 2019

Sufficient Representations for Categorical Variables.

Jonathan Johannemann, Vitor Hadad, Susan Athey, Stefan Wager

CoRR, 2019

Covariate-Powered Empirical Bayes Estimation.

Nikolaos Ignatiadis, Stefan Wager

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

2017

Efficient Policy Learning.

Susan Athey, Stefan Wager

CoRR, 2017

2016

Bootstrap-Based Regularization for Low-Rank Matrix Estimation.

Julie Josse, Stefan Wager

J. Mach. Learn. Res., 2016

2015

Memory, Communication, and Statistical Queries.

Jacob Steinhardt, Gregory Valiant, Stefan Wager

Electron. Colloquium Comput. Complex., 2015

Protocol performance of UL/DL separation in LTE heterogeneous networks.

Antti Ratilainen, Vesa Virkki, Stefan Wager, Kimmo Hiltunen

Proceedings of the 2015 International Symposium on Wireless Communication Systems (ISWCS), 2015

Stable Autoencoding: A Flexible Framework for Regularized Low-rank Matrix Estimation.

Julie Josse, Stefan Wager

Proceedings of the International Conference on Computational Science, 2015

2014

Subsampling extremes: From block maxima to smooth tail estimation.

Stefan Wager

J. Multivar. Anal., 2014

Confidence intervals for random forests: the jackknife and the infinitesimal jackknife.

Stefan Wager, Trevor Hastie, Bradley Efron

J. Mach. Learn. Res., 2014

The Statistics of Streaming Sparse Regression.

Jacob Steinhardt, Stefan Wager, Percy Liang

CoRR, 2014

Altitude Training: Strong Bounds for Single-Layer Dropout.

Stefan Wager, William Fithian, Sida Wang, Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Feedback Detection for Live Predictors.

Stefan Wager, Nick Chamandy, Omkar Muralidharan, Amir Najmi

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Feedback Detection for Live Statistical Predictors.

Stefan Wager, Nick Chamandy, Omkar Muralidharan, Amir Najmi

CoRR, 2013

Weakly Supervised Clustering: Learning Fine-Grained Signals from Coarse Side Information.

Stefan Wager, Alexander Blocker, Niall Cardin

CoRR, 2013

On Heterogeneous Networks Mobility Robustness.

Kristina Zetterberg, Pradeepa Ramachandra, Fredrik Gunnarsson, Mehdi Amirijoo, Stefan Wager, Torsten Dudda

Proceedings of the 77th IEEE Vehicular Technology Conference, 2013

Dropout Training as Adaptive Regularization.

Stefan Wager, Sida Wang, Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Feature Noising for Log-Linear Structured Prediction.

Sida Wang, Mengqiu Wang, Stefan Wager, Percy Liang, Christopher D. Manning

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012

Cell Range Extension in LTE In-Band Relays.

Anzial A. Rasheed, Stefan Wager

Proceedings of the European Wireless 2012, 2012

2007

Performance Evaluation of HSDPA Mobility for Voice Over IP.

Stefan Wager, Kristofer Sandlund

Proceedings of the 65th IEEE Vehicular Technology Conference, 2007

High Speed Packet Access Evolution - Concept and Technologies.

Janne Peisa, Stefan Wager, Mats Sågfors, Johan Torsner, Bo Göransson, Tracy Fulghum, Carmela Cozzo, Stephen J. Grant

Proceedings of the 65th IEEE Vehicular Technology Conference, 2007

2000

Performance of shared and dedicated resources in WCDMA.

Joachim Sachs, Stefan Wager, Henning Wiemann

Proceedings of the 2000 IEEE Wireless Communications and Networking Conference, 2000