More from the Same Authors

• 2021 : Measuring Coding Challenge Competence With APPS »
  Dan Hendrycks · Steven Basart · Saurav Kadavath · Mantas Mazeika · Akul Arora · Ethan Guo · Collin Burns · Samir Puranik · Horace He · Dawn Song · Jacob Steinhardt
• 2021 : PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures »
  Dan Hendrycks · Andy Zou · Mantas Mazeika · Leonard Tang · Dawn Song · Jacob Steinhardt
• 2021 : What Would Jiminy Cricket Do? Towards Agents That Behave Morally »
  Dan Hendrycks · Mantas Mazeika · Andy Zou · Sahil Patel · Christine Zhu · Jesus Navarro · Dawn Song · Bo Li · Jacob Steinhardt
• 2021 : Measuring Mathematical Problem Solving With the MATH Dataset »
  Dan Hendrycks · Collin Burns · Saurav Kadavath · Akul Arora · Steven Basart · Eric Tang · Dawn Song · Jacob Steinhardt
• 2022 Workshop: Workshop on Machine Learning Safety »
  Dan Hendrycks · Victoria Krakovna · Dawn Song · Jacob Steinhardt · Nicholas Carlini
• 2022 Competition: The Trojan Detection Challenge »
  Mantas Mazeika · Dan Hendrycks · Huichen Li · Xiaojun Xu · Andy Zou · Sidney Hough · Arezoo Rajabi · Dawn Song · Radha Poovendran · Bo Li · David Forsyth
• 2022 : John Langford »
  John Langford
• 2022 : Dawn Song - Invited Talk »
  Dawn Song
• 2022 Workshop: Decentralization and Trustworthy Machine Learning in Web3: Methodologies, Platforms, and Applications »
  Jian Lou · Zhiguang Wang · Chejian Xu · Bo Li · Dawn Song
• 2021 : Live panel: Perspectives on ImageNet. »
  Dawn Song · Ross Wightman · Dan Hendrycks
• 2021 : Using ImageNet to Measure Robustness and Uncertainty »
  Dawn Song · Dan Hendrycks
• 2021 Poster: Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages »
  Xinyun Chen · Dawn Song · Yuandong Tian
• 2021 Poster: Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams »
  Chawin Sitawarin · Evgenios Kornaropoulos · Dawn Song · David Wagner
• 2020 : Panel »
  Emma Brunskill · Nan Jiang · Nando de Freitas · Finale Doshi-Velez · Sergey Levine · John Langford · Lihong Li · George Tucker · Rishabh Agarwal · Aviral Kumar
• 2020 : Causal Structure Discovery in RL »
  John Langford
• 2020 Poster: Empirical Likelihood for Contextual Bandits »
  Nikos Karampatziakis · John Langford · Paul Mineiro
• 2020 Poster: Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis »
  Kavi Gupta · Peter Ebert Christensen · Xinyun Chen · Dawn Song
• 2020 Poster: Compositional Generalization via Neural-Symbolic Stack Machines »
  Xinyun Chen · Chen Liang · Adams Wei Yu · Dawn Song · Denny Zhou
• 2020 Poster: Efficient Contextual Bandits with Continuous Actions »
  Maryam Majzoubi · Chicheng Zhang · Rajan Chari · Akshay Krishnamurthy · John Langford · Aleksandrs Slivkins
• 2020 Poster: Learning the Linear Quadratic Regulator from Nonlinear Observations »
  Zakaria Mhammedi · Dylan Foster · Max Simchowitz · Dipendra Misra · Wen Sun · Akshay Krishnamurthy · Alexander Rakhlin · John Langford
• 2020 : Real World RL with Vowpal Wabbit: Beyond Contextual Bandits »
  John Langford · Marek Wydmuch · Maryam Majzoubi · Adith Swaminathan · · Dylan Foster · Paul Mineiro
• 2019 : Poster and Coffee Break 1 »
  Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova
• 2019 : Poster Spotlight 1 »
  David Brandfonbrener · Joan Bruna · Tom Zahavy · Haim Kaplan · Yishay Mansour · Nikos Karampatziakis · John Langford · Paul Mineiro · Donghwan Lee · Niao He
• 2019 : TBD »
  Dawn Song
• 2019 Poster: Efficient Forward Architecture Search »
  Hanzhang Hu · John Langford · Rich Caruana · Saurajit Mukherjee · Eric Horvitz · Debadeepta Dey
• 2018 Workshop: MLSys: Workshop on Systems for ML and Open Source Software »
  Aparna Lakshmiratan · Sarah Bird · Siddhartha Sen · Joseph Gonzalez · Daniel Crankshaw
• 2018 Poster: On Oracle-Efficient PAC RL with Rich Observations »
  Christoph Dann · Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
• 2018 Spotlight: On Oracle-Efficient PAC RL with Rich Observations »
  Christoph Dann · Nan Jiang · Akshay Krishnamurthy · Alekh Agarwal · John Langford · Robert Schapire
• 2018 Poster: Tree-to-tree Neural Networks for Program Translation »
  Xinyun Chen · Chang Liu · Dawn Song
• 2017 : John Langford (MSR) on Dreaming Contextual Memory »
  John Langford
• 2017 Workshop: ML Systems Workshop @ NIPS 2017 »
  Aparna Lakshmiratan · Sarah Bird · Siddhartha Sen · Christopher Ré · Li Erran Li · Joseph Gonzalez · Daniel Crankshaw
• 2017 Workshop: Machine Learning and Computer Security »
  Jacob Steinhardt · Nicolas Papernot · Bo Li · Chang Liu · Percy Liang · Dawn Song
• 2017 Poster: Off-policy evaluation for slate recommendation »
  Adith Swaminathan · Akshay Krishnamurthy · Alekh Agarwal · Miro Dudik · John Langford · Damien Jose · Imed Zitouni
• 2017 Oral: Off-policy evaluation for slate recommendation »
  Adith Swaminathan · Akshay Krishnamurthy · Alekh Agarwal · Miro Dudik · John Langford · Damien Jose · Imed Zitouni
• 2016 Poster: Efficient Second Order Online Learning by Sketching »
  Haipeng Luo · Alekh Agarwal · Nicolò Cesa-Bianchi · John Langford
• 2016 Poster: A Credit Assignment Compiler for Joint Prediction »
  Kai-Wei Chang · He He · Stephane Ross · Hal Daumé III · John Langford
• 2016 Poster: PAC Reinforcement Learning with Rich Observations »
  Akshay Krishnamurthy · Alekh Agarwal · John Langford
• 2016 Poster: Search Improves Label for Active Learning »
  Alina Beygelzimer · Daniel Hsu · John Langford · Chicheng Zhang
• 2015 : Intelligent Services »
  Joseph Gonzalez
• 2015 Workshop: Machine Learning Systems »
  Alex Beutel · Tianqi Chen · Sameer Singh · Elaine Angelino · Markus Weimer · Joseph Gonzalez
• 2015 Poster: Logarithmic Time Online Multiclass prediction »
  Anna Choromanska · John Langford
• 2015 Poster: Efficient and Parsimonious Agnostic Active Learning »
  Tzu-Kuo Huang · Alekh Agarwal · Daniel Hsu · John Langford · Robert Schapire
• 2015 Spotlight: Logarithmic Time Online Multiclass prediction »
  Anna Choromanska · John Langford
• 2015 Spotlight: Efficient and Parsimonious Agnostic Active Learning »
  Tzu-Kuo Huang · Alekh Agarwal · Daniel Hsu · John Langford · Robert Schapire
• 2014 Poster: On Model Parallelization and Scheduling Strategies for Distributed Machine Learning »
  Seunghak Lee · Jin Kyu Kim · Xun Zheng · Qirong Ho · Garth Gibson · Eric Xing
• 2014 Poster: Parallel Double Greedy Submodular Maximization »
  Xinghao Pan · Stefanie Jegelka · Joseph Gonzalez · Joseph K Bradley · Michael Jordan
• 2013 Workshop: Big Learning : Advances in Algorithms and Data Management »
  Xinghao Pan · Haijie Gu · Joseph Gonzalez · Sameer Singh · Yucheng Low · Joseph Hellerstein · Derek G Murray · Raghu Ramakrishnan · Michael Jordan · Christopher Ré
• 2013 Workshop: Extreme Classification: Multi-Class & Multi-Label Learning with Millions of Categories »
  Manik Varma · John Langford
• 2013 Poster: More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server »
  Qirong Ho · James Cipar · Henggang Cui · Seunghak Lee · Jin Kyu Kim · Phillip B. Gibbons · Garth Gibson · Greg Ganger · Eric Xing
• 2013 Oral: More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server »
  Qirong Ho · James Cipar · Henggang Cui · Seunghak Lee · Jin Kyu Kim · Phillip B. Gibbons · Garth Gibson · Greg Ganger · Eric Xing
• 2013 Poster: Optimistic Concurrency Control for Distributed Unsupervised Learning »
  Xinghao Pan · Joseph Gonzalez · Stefanie Jegelka · Tamara Broderick · Michael Jordan
• 2009 Poster: Tracking Dynamic Sources of Malicious Activity at Internet Scale »
  Shobha Venkataraman · Avrim Blum · Dawn Song · Subhabrata Sen · Oliver Spatscheck
• 2009 Spotlight: Tracking Dynamic Sources of Malicious Activity at Internet Scale »
  Shobha Venkataraman · Avrim Blum · Dawn Song · Subhabrata Sen · Oliver Spatscheck