Performance of shared and dedicated resources in WCDMA. - Joachim Sachs; Stefan Wager; Henning Wiemann (WCNC, 2000)

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 (VTC Spring, 2007)

Performance Evaluation of HSDPA Mobility for Voice Over IP. - Stefan Wager; Kristofer Sandlund (VTC Spring, 2007)

Cell Range Extension in LTE In-Band Relays. - Anzial A. Rasheed; Stefan Wager (EW, 2012)

Feature Noising for Log-Linear Structured Prediction. - Sida Wang 001; Mengqiu Wang; Stefan Wager; Percy Liang; Christopher D. Manning (EMNLP, 2013)

Dropout Training as Adaptive Regularization. - Stefan Wager; Sida Wang 001; Percy Liang (NIPS, 2013)

On Heterogeneous Networks Mobility Robustness. - Kristina Zetterberg; Pradeepa Ramachandra; Fredrik Gunnarsson; Mehdi Amirijoo; Stefan Wager; Torsten Dudda (VTC Spring, 2013)

Weakly Supervised Clustering: Learning Fine-Grained Signals from Coarse Side Information. - Stefan Wager; Alexander Blocker; Niall Cardin (CoRR, 2013)

Feedback Detection for Live Statistical Predictors. - Stefan Wager; Nick Chamandy; Omkar Muralidharan; Amir Najmi (CoRR, 2013)

Feedback Detection for Live Predictors. - Stefan Wager; Nick Chamandy; Omkar Muralidharan; Amir Najmi (NIPS, 2014)

Altitude Training: Strong Bounds for Single-Layer Dropout. - Stefan Wager; William Fithian; Sida Wang 001; Percy Liang (NIPS, 2014)

The Statistics of Streaming Sparse Regression. - Jacob Steinhardt; Stefan Wager; Percy Liang (CoRR, 2014)

Confidence intervals for random forests: the jackknife and the infinitesimal jackknife. - Stefan Wager; Trevor Hastie; Bradley Efron (J. Mach. Learn. Res., 2014)

Subsampling extremes: From block maxima to smooth tail estimation. - Stefan Wager (J. Multivar. Anal., 2014)

Stable Autoencoding: A Flexible Framework for Regularized Low-rank Matrix Estimation. - Julie Josse; Stefan Wager (ICCS, 2015)

Protocol performance of UL/DL separation in LTE heterogeneous networks. - Antti Ratilainen; Vesa Virkki; Stefan Wager; Kimmo Hiltunen (ISWCS, 2015)

Memory, Communication, and Statistical Queries. - Jacob Steinhardt; Gregory Valiant; Stefan Wager (Electron. Colloquium Comput. Complex., 2015)

Bootstrap-Based Regularization for Low-Rank Matrix Estimation. - Julie Josse; Stefan Wager (J. Mach. Learn. Res., 2016)

Efficient Policy Learning. - Susan Athey; Stefan Wager (CoRR, 2017)

Covariate-Powered Empirical Bayes Estimation. - Nikolaos Ignatiadis; Stefan Wager (NeurIPS, 2019)

Sufficient Representations for Categorical Variables. - Jonathan Johannemann; Vitor Hadad; Susan Athey; Stefan Wager (CoRR, 2019)

Smoothness-Adaptive Stochastic Bandits. - Yonatan Gur; Ahmadreza Momeni; Stefan Wager (CoRR, 2019)

Confidence Intervals for Policy Evaluation in Adaptive Experiments. - Vitor Hadad; David A. Hirshberg; Ruohan Zhan; Stefan Wager; Susan Athey (CoRR, 2019)

Estimating heterogeneous treatment effects with right-censored data via causal survival forests. - Yifan Cui 001; Michael R. Kosorok; Stefan Wager; Ruoqing Zhu (CoRR, 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)

Diffusion Asymptotics for Sequential Experiments. - Stefan Wager; Kuang Xu (CoRR, 2021)

Off-Policy Evaluation in Partially Observed Markov Decision Processes. - Yuchen Hu; Stefan Wager (CoRR, 2021)

Local Linear Forests. - Rina Friedberg; Julie Tibshirani; Susan Athey; Stefan Wager (J. Comput. Graph. Stat., 2021)

Experimenting in Equilibrium. - Stefan Wager; Kuang Xu (Manag. Sci., 2021)

Thompson Sampling with Unrestricted Delays. - Han Wu; Stefan Wager (EC, 2022)

Partial likelihood Thompson sampling. - Han Wu; Stefan Wager (UAI, 2022)

Policy Learning with Competing Agents. - Roshni Sahoo; Stefan Wager (CoRR, 2022)

Learning from a Biased Sample. - Roshni Sahoo; Lihua Lei; Stefan Wager (CoRR, 2022)

Smoothness-Adaptive Contextual Bandits. - Yonatan Gur; Ahmadreza Momeni; Stefan Wager (Oper. Res., 2022)

Offline Multi-Action Policy Learning: Generalization and Optimization. - Zhengyuan Zhou; Susan Athey; Stefan Wager (Oper. Res., 2023)

Minimax-Regret Sample Selection in Randomized Experiments. - Yuchen Hu; Henry Zhu; Emma Brunskill; Stefan Wager (EC, 2024)

Experimenting under Stochastic Congestion. - Shuangning Li; Ramesh Johari; Kuang Xu; Stefan Wager (EC, 2024)

Off-Policy Evaluation in Markov Decision Processes under Weak Distributional Overlap. - Mohammad Mehrabi; Stefan Wager (CoRR, 2024)

Weak Signal Asymptotics for Sequentially Randomized Experiments. - Kuang Xu; Stefan Wager (Manag. Sci., 2024)

Admissibility of Completely Randomized Trials: A Large-Deviation Approach. - Guido Imbens; Chao Qin; Stefan Wager (EC, 2025)

Optimal Mechanisms for Demand Response: An Indifference Set Approach. - Mohammad Mehrabi; Omer Karaduman; Stefan Wager (EC, 2025)