More from the Same Authors

• 2021 : Provable RL with Exogenous Distractors via Multistep Inverse Dynamics »
  Yonathan Efroni · Dipendra Misra · Akshay Krishnamurthy · Alekh Agarwal · John Langford
• 2022 : Interaction-Grounded Learning with Action-inclusive Feedback »
  Tengyang Xie · Akanksha Saran · Dylan Foster · Lekan Molu · Ida Momennejad · Nan Jiang · Paul Mineiro · John Langford
• 2023 Workshop: Interactive Learning with Implicit Human Feedback »
  Andi Peng · Akanksha Saran · Andreea Bobu · Tengyang Xie · Pierre-Yves Oudeyer · Anca Dragan · John Langford
• 2023 Tutorial: Discovering Agent-Centric Latent States in Theory and in Practice »
  John Langford · Alex Lamb
• 2023 Expo Talk Panel: Vowpal Wabbit: year in review and looking ahead in an LLM world »
  John Langford · Byron Xu · Cheng Tan · Jack Gerrits · Lili Wu · Mark Rucker · Olga Vrousgou
• 2022 Poster: Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning »
  Alberto Bietti · Chen-Yu Wei · Miroslav Dudik · John Langford · Steven Wu
• 2022 Poster: Contextual Bandits with Large Action Spaces: Made Practical »
  Yinglun Zhu · Dylan Foster · John Langford · Paul Mineiro
• 2022 Spotlight: Contextual Bandits with Large Action Spaces: Made Practical »
  Yinglun Zhu · Dylan Foster · John Langford · Paul Mineiro
• 2022 Spotlight: Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning »
  Alberto Bietti · Chen-Yu Wei · Miroslav Dudik · John Langford · Steven Wu
• 2021 : RL Foundation Panel »
  Matthew Botvinick · Thomas Dietterich · Leslie Kaelbling · John Langford · Warrren B Powell · Csaba Szepesvari · Lihong Li · Yuxi Li
• 2021 Poster: Interaction-Grounded Learning »
  Tengyang Xie · John Langford · Paul Mineiro · Ida Momennejad
• 2021 Spotlight: Interaction-Grounded Learning »
  Tengyang Xie · John Langford · Paul Mineiro · Ida Momennejad
• 2021 Poster: ChaCha for Online AutoML »
  Qingyun Wu · Chi Wang · John Langford · Paul Mineiro · Marco Rossi
• 2021 Spotlight: ChaCha for Online AutoML »
  Qingyun Wu · Chi Wang · John Langford · Paul Mineiro · Marco Rossi
• 2021 Town Hall: Town Hall »
  John Langford · Marina Meila · Tong Zhang · Le Song · Stefanie Jegelka · Csaba Szepesvari
• 2021 Expo Workshop: Real World RL: Azure Personalizer & Vowpal Wabbit »
  Sheetal Lahabar · Etienne Kintzler · Mark Rucker · Bogdan Mazoure · Qingyun Wu · Pavithra Srinath · Jack Gerrits · Olga Vrousgou · John Langford · Eduardo Salinas
• 2020 : Discussion Panel »
  Krzysztof Dembczynski · Prateek Jain · Alina Beygelzimer · Inderjit Dhillon · Anna Choromanska · Maryam Majzoubi · Yashoteja Prabhu · John Langford
• 2020 Workshop: Workshop on eXtreme Classification: Theory and Applications »
  Anna Choromanska · John Langford · Maryam Majzoubi · Yashoteja Prabhu
• 2020 Poster: Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning »
  Dipendra Kumar Misra · Mikael Henaff · Akshay Krishnamurthy · John Langford
• 2019 : panel discussion with Craig Boutilier (Google Research), Emma Brunskill (Stanford), Chelsea Finn (Google Brain, Stanford, UC Berkeley), Mohammad Ghavamzadeh (Facebook AI), John Langford (Microsoft Research) and David Silver (Deepmind) »
  Peter Stone · Craig Boutilier · Emma Brunskill · Chelsea Finn · John Langford · David Silver · Mohammad Ghavamzadeh
• 2019 : Poster Session 1 (all papers) »
  Matilde Gargiani · Yochai Zur · Chaim Baskin · Evgenii Zheltonozhskii · Liam Li · Ameet Talwalkar · Xuedong Shang · Harkirat Singh Behl · Atilim Gunes Baydin · Ivo Couckuyt · Tom Dhaene · Chieh Lin · Wei Wei · Min Sun · Orchid Majumder · Michele Donini · Yoshihiko Ozaki · Ryan P. Adams · Christian Geißler · Ping Luo · zhanglin peng · · Ruimao Zhang · John Langford · Rich Caruana · Debadeepta Dey · Charles Weill · Xavi Gonzalvo · Scott Yang · Scott Yak · Eugen Hotaj · Vladimir Macko · Mehryar Mohri · Corinna Cortes · Stefan Webb · Jonathan Chen · Martin Jankowiak · Noah Goodman · Aaron Klein · Frank Hutter · Mojan Javaheripi · Mohammad Samragh · Sungbin Lim · Taesup Kim · SUNGWOONG KIM · Michael Volpp · Iddo Drori · Yamuna Krishnamurthy · Kyunghyun Cho · Stanislaw Jastrzebski · Quentin de Laroussilhe · Mingxing Tan · Xiao Ma · Neil Houlsby · Andrea Gesmundo · Zalán Borsos · Krzysztof Maziarz · Felipe Petroski Such · Joel Lehman · Kenneth Stanley · Jeff Clune · Pieter Gijsbers · Joaquin Vanschoren · Felix Mohr · Eyke Hüllermeier · Zheng Xiong · Wenpeng Zhang · Wenwu Zhu · Weijia Shao · Aleksandra Faust · Michal Valko · Michael Y Li · Hugo Jair Escalante · Marcel Wever · Andrey Khorlin · Tara Javidi · Anthony Francis · Saurajit Mukherjee · Jungtaek Kim · Michael McCourt · Saehoon Kim · Tackgeun You · Seungjin Choi · Nicolas Knudde · Alexander Tornede · Ghassen Jerfel
• 2019 : invited talk by John Langford (Microsoft Research): How do we make Real World Reinforcement Learning revolution? »
  John Langford
• 2019 Poster: Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback »
  Chicheng Zhang · Alekh Agarwal · Hal Daumé III · John Langford · Sahand Negahban
• 2019 Oral: Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback »
  Chicheng Zhang · Alekh Agarwal · Hal Daumé III · John Langford · Sahand Negahban
• 2019 Poster: Provably efficient RL with Rich Observations via Latent State Decoding »
  Simon Du · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal · Miroslav Dudik · John Langford
• 2019 Poster: Contextual Memory Trees »
  Wen Sun · Alina Beygelzimer · Hal Daumé III · John Langford · Paul Mineiro
• 2019 Oral: Provably efficient RL with Rich Observations via Latent State Decoding »
  Simon Du · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal · Miroslav Dudik · John Langford
• 2019 Oral: Contextual Memory Trees »
  Wen Sun · Alina Beygelzimer · Hal Daumé III · John Langford · Paul Mineiro
• 2018 Poster: Learning Deep ResNet Blocks Sequentially using Boosting Theory »
  Furong Huang · Jordan Ash · John Langford · Robert Schapire
• 2018 Oral: Learning Deep ResNet Blocks Sequentially using Boosting Theory »
  Furong Huang · Jordan Ash · John Langford · Robert Schapire
• 2017 Poster: Contextual Decision Processes with low Bellman rank are PAC-Learnable »
  Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
• 2017 Talk: Contextual Decision Processes with low Bellman rank are PAC-Learnable »
  Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
• 2017 Poster: Logarithmic Time One-Against-Some »
  Hal Daumé · Nikos Karampatziakis · John Langford · Paul Mineiro
• 2017 Poster: Active Learning for Cost-Sensitive Classification »
  Akshay Krishnamurthy · Alekh Agarwal · Tzu-Kuo Huang · Hal Daumé III · John Langford
• 2017 Talk: Active Learning for Cost-Sensitive Classification »
  Akshay Krishnamurthy · Alekh Agarwal · Tzu-Kuo Huang · Hal Daumé III · John Langford
• 2017 Talk: Logarithmic Time One-Against-Some »
  Hal Daumé · Nikos Karampatziakis · John Langford · Paul Mineiro
• 2017 Tutorial: Real World Interactive Learning »
  Alekh Agarwal · John Langford