Stefan Wager

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 25

Top Topics

Sparse Regression

Markov Decision Process

Policy Evaluation

Top Venues

J. Mach. Learn. Res.

Publications

Mohammad Mehrabi, Stefan Wager
Off-Policy Evaluation in Markov Decision Processes under Weak Distributional Overlap. CoRR (2024)
Zhengyuan Zhou, Susan Athey, Stefan Wager
Offline Multi-Action Policy Learning: Generalization and Optimization. Oper. Res. 71 (1) (2023)
Shuangning Li, Ramesh Johari, Stefan Wager, Kuang Xu
Experimenting under Stochastic Congestion. CoRR (2023)
Yonatan Gur, Ahmadreza Momeni, Stefan Wager
Smoothness-Adaptive Contextual Bandits. Oper. Res. 70 (6) (2022)
Roshni Sahoo, Lihua Lei, Stefan Wager
Learning from a Biased Sample. CoRR (2022)
Han Wu, Stefan Wager
Partial likelihood Thompson sampling. UAI (2022)
Roshni Sahoo, Stefan Wager
Policy Learning with Competing Agents. CoRR (2022)
Han Wu, Stefan Wager
Thompson Sampling with Unrestricted Delays. CoRR (2022)
Han Wu, Stefan Wager
Partial Likelihood Thompson Sampling. CoRR (2022)
Han Wu, Stefan Wager
Thompson Sampling with Unrestricted Delays. EC (2022)
Stefan Wager, Kuang Xu
Diffusion Asymptotics for Sequential Experiments. CoRR (2021)
Yuchen Hu, Stefan Wager
Off-Policy Evaluation in Partially Observed Markov Decision Processes. CoRR (2021)
Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager
Local Linear Forests. J. Comput. Graph. Stat. 30 (2) (2021)
Stefan Wager, Kuang Xu
Experimenting in Equilibrium. Manag. Sci. 67 (11) (2021)
Yifan Cui, Michael R. Kosorok, Stefan Wager, Ruoqing Zhu
Estimating heterogeneous treatment effects with right-censored data via causal survival forests. CoRR (2020)
Erik Sverdrup, Ayush Kanodia, Zhengyuan Zhou, Susan Athey, Stefan Wager
policytree: Policy learning via doubly robust empirical welfare maximization over trees. J. Open Source Softw. 5 (55) (2020)
Jonathan Johannemann, Vitor Hadad, Susan Athey, Stefan Wager
Sufficient Representations for Categorical Variables. CoRR (2019)
Nikolaos Ignatiadis, Stefan Wager
Covariate-Powered Empirical Bayes Estimation. NeurIPS (2019)
Yonatan Gur, Ahmadreza Momeni, Stefan Wager
Smoothness-Adaptive Stochastic Bandits. CoRR (2019)
Vitor Hadad, David A. Hirshberg, Ruohan Zhan, Stefan Wager, Susan Athey
Confidence Intervals for Policy Evaluation in Adaptive Experiments. CoRR (2019)
Zhengyuan Zhou, Susan Athey, Stefan Wager
Offline Multi-Action Policy Learning: Generalization and Optimization. CoRR (2018)
Rina Friedberg, Julie Tibshirani, Susan Athey, Stefan Wager
Local Linear Forests. CoRR (2018)
Susan Athey, Stefan Wager
Efficient Policy Learning. CoRR (2017)
Julie Josse, Stefan Wager
Bootstrap-Based Regularization for Low-Rank Matrix Estimation. J. Mach. Learn. Res. 17 (2016)
Jacob Steinhardt, Gregory Valiant, Stefan Wager
Memory, Communication, and Statistical Queries. COLT (2016)
Jacob Steinhardt, Gregory Valiant, Stefan Wager
Memory, Communication, and Statistical Queries. Electron. Colloquium Comput. Complex. 22 (2015)
Antti Ratilainen, Vesa Virkki, Stefan Wager, Kimmo Hiltunen
Protocol performance of UL/DL separation in LTE heterogeneous networks. ISWCS (2015)
Julie Josse, Stefan Wager
Stable Autoencoding: A Flexible Framework for Regularized Low-rank Matrix Estimation. ICCS (2015)
Stefan Wager, William Fithian, Sida I. Wang, Percy Liang
Altitude Training: Strong Bounds for Single-Layer Dropout. NIPS (2014)
Stefan Wager, William Fithian, Sida I. Wang, Percy Liang
Altitude Training: Strong Bounds for Single-Layer Dropout. CoRR (2014)
Jacob Steinhardt, Stefan Wager, Percy Liang
The Statistics of Streaming Sparse Regression. CoRR (2014)
Stefan Wager, Trevor Hastie, Bradley Efron
Confidence intervals for random forests: the jackknife and the infinitesimal jackknife. J. Mach. Learn. Res. 15 (1) (2014)
Stefan Wager, Nick Chamandy, Omkar Muralidharan, Amir Najmi
Feedback Detection for Live Predictors. NIPS (2014)
Julie Josse, Stefan Wager
Stable Autoencoding: A Flexible Framework for Regularized Low-Rank Matrix Estimation. CoRR (2014)
Stefan Wager
Subsampling extremes: From block maxima to smooth tail estimation. J. Multivar. Anal. 130 (2014)
Stefan Wager, Sida I. Wang, Percy Liang
Dropout Training as Adaptive Regularization. CoRR (2013)
Sida I. Wang, Mengqiu Wang, Stefan Wager, Percy Liang, Christopher D. Manning
Feature Noising for Log-Linear Structured Prediction. EMNLP (2013)
Stefan Wager, Alexander Blocker, Niall Cardin
Weakly Supervised Clustering: Learning Fine-Grained Signals from Coarse Side Information. CoRR (2013)
Stefan Wager, Sida I. Wang, Percy Liang
Dropout Training as Adaptive Regularization. NIPS (2013)
Stefan Wager, Nick Chamandy, Omkar Muralidharan, Amir Najmi
Feedback Detection for Live Statistical Predictors. CoRR (2013)
Kristina Zetterberg, Pradeepa Ramachandra, Fredrik Gunnarsson, Mehdi Amirijoo, Stefan Wager, Torsten Dudda
On Heterogeneous Networks Mobility Robustness. VTC Spring (2013)
Anzial A. Rasheed, Stefan Wager
Cell Range Extension in LTE In-Band Relays. EW (2012)
Stefan Wager, Kristofer Sandlund
Performance Evaluation of HSDPA Mobility for Voice Over IP. VTC Spring (2007)
Janne Peisa, Stefan Wager, Mats Sågfors, Johan Torsner, Bo Göransson, Tracy Fulghum, Carmela Cozzo, Stephen J. Grant
High Speed Packet Access Evolution - Concept and Technologies. VTC Spring (2007)
Joachim Sachs, Stefan Wager, Henning Wiemann
Performance of shared and dedicated resources in WCDMA. WCNC (2000)