More from the Same Authors

• 2021 Spotlight: Towards a Unified Information-Theoretic Framework for Generalization »
  Mahdi Haghifam · Gintare Karolina Dziugaite · Shay Moran · Dan Roy
• 2021 Poster: The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization »
  Mufan Li · Mihai Nica · Dan Roy
• 2021 Poster: Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers »
  Jeffrey Negrea · Blair Bilodeau · Nicolò Campolongo · Francesco Orabona · Dan Roy
• 2021 Poster: Towards a Unified Information-Theoretic Framework for Generalization »
  Mahdi Haghifam · Gintare Karolina Dziugaite · Shay Moran · Dan Roy
• 2020 Poster: Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel »
  Stanislav Fort · Gintare Karolina Dziugaite · Mansheej Paul · Sepideh Kharaghani · Daniel Roy · Surya Ganguli
• 2020 Poster: Adaptive Gradient Quantization for Data-Parallel SGD »
  Fartash Faghri · Iman Tabrizian · Ilia Markov · Dan Alistarh · Daniel Roy · Ali Ramezani-Kebrya
• 2020 Poster: Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms »
  Mahdi Haghifam · Jeffrey Negrea · Ashish Khisti · Daniel Roy · Gintare Karolina Dziugaite
• 2020 Poster: In search of robust measures of generalization »
  Gintare Karolina Dziugaite · Alexandre Drouin · Brady Neal · Nitarshan Rajkumar · Ethan Caballero · Linbo Wang · Ioannis Mitliagkas · Daniel Roy
• 2019 : Lunch break & Poster session »
  Breandan Considine · Michael Innes · Du Phan · Dougal Maclaurin · Robin Manhaeve · Alexey Radul · Shashi Gowda · Ekansh Sharma · Eli Sennesh · Maxim Kochurov · Gordon Plotkin · Thomas Wiecki · Navjot Kukreja · Chung-chieh Shan · Matthew Johnson · Dan Belov · Neeraj Pradhan · Wannes Meert · Angelika Kimmig · Luc De Raedt · Brian Patton · Matthew Hoffman · Rif A. Saurous · Daniel Roy · Eli Bingham · Martin Jankowiak · Colin Carroll · Junpeng Lao · Liam Paull · Martin Abadi · Angel Rojas Jimenez · JP Chen
• 2019 : Lunch Break and Posters »
  Xingyou Song · Elad Hoffer · Wei-Cheng Chang · Jeremy Cohen · Jyoti Islam · Yaniv Blumenfeld · Andreas Madsen · Jonathan Frankle · Sebastian Goldt · Satrajit Chatterjee · Abhishek Panigrahi · Alex Renda · Brian Bartoldson · Israel Birhane · Aristide Baratin · Niladri Chatterji · Roman Novak · Jessica Forde · YiDing Jiang · Yilun Du · Linara Adilova · Michael Kamp · Berry Weinstein · Itay Hubara · Tal Ben-Nun · Torsten Hoefler · Daniel Soudry · Hsiang-Fu Yu · Kai Zhong · Yiming Yang · Inderjit Dhillon · Jaime Carbonell · Yanqing Zhang · Dar Gilboa · Johannes Brandstetter · Alexander R Johansen · Gintare Karolina Dziugaite · Raghav Somani · Ari Morcos · Freddie Kalaitzis · Hanie Sedghi · Lechao Xiao · John Zech · Muqiao Yang · Simran Kaur · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · Sho Yaida · Zachary Lipton · Daniel Roy · Michael Carbin · Florent Krzakala · Lenka Zdeborová · Guy Gur-Ari · Ethan Dyer · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Behnam Neyshabur · Praneeth Netrapalli · Kris Sankaran · Julien Cornebise · Yoshua Bengio · Vincent Michalski · Samira Ebrahimi Kahou · Md Rifat Arefin · Jiri Hron · Jaehoon Lee · Jascha Sohl-Dickstein · Samuel Schoenholz · David Schwab · Dongyu Li · Sang Keun Choe · Henning Petzka · Ashish Verma · Zhichao Lin · Cristian Sminchisescu
• 2019 Workshop: Machine Learning with Guarantees »
  Ben London · Gintare Karolina Dziugaite · Daniel Roy · Thorsten Joachims · Aleksander Madry · John Shawe-Taylor
• 2019 Poster: Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates »
  Jeffrey Negrea · Mahdi Haghifam · Gintare Karolina Dziugaite · Ashish Khisti · Daniel Roy
• 2019 Poster: Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes »
  Jun Yang · Shengyang Sun · Daniel Roy
• 2018 Poster: Data-dependent PAC-Bayes priors via differential privacy »
  Gintare Karolina Dziugaite · Daniel Roy
• 2017 : Daniel Roy - Deep Neural Networks: From Flat Minima to Numerically Nonvacuous Generalization Bounds via PAC-Bayes »
  Daniel Roy
• 2016 Poster: Measuring the reliability of MCMC inference with bidirectional Monte Carlo »
  Roger Grosse · Siddharth Ancha · Daniel Roy
• 2014 Workshop: 3rd NIPS Workshop on Probabilistic Programming »
  Daniel Roy · Josh Tenenbaum · Thomas Dietterich · Stuart J Russell · YI WU · Ulrik R Beierholm · Alp Kucukelbir · Zenna Tavares · Yura Perov · Daniel Lee · Brian Ruttenberg · Sameer Singh · Michael Hughes · Marco Gaboardi · Alexey Radul · Vikash Mansinghka · Frank Wood · Sebastian Riedel · Prakash Panangaden
• 2014 Poster: Gibbs-type Indian Buffet Processes »
  Creighton Heaukulani · Daniel Roy
• 2014 Poster: Mondrian Forests: Efficient Online Random Forests »
  Balaji Lakshminarayanan · Daniel Roy · Yee Whye Teh
• 2013 Session: Session Chair »
  Daniel Roy
• 2012 Workshop: Probabilistic Programming: Foundations and Applications (2 day) »
  Vikash Mansinghka · Daniel Roy · Noah Goodman
• 2012 Workshop: Probabilistic Programming: Foundations and Applications (2 day) »
  Vikash Mansinghka · Daniel Roy · Noah Goodman
• 2012 Poster: Random function priors for exchangeable graphs and arrays »
  James R Lloyd · Daniel Roy · Peter Orbanz · Zoubin Ghahramani
• 2011 Poster: Complexity of Inference in Latent Dirichlet Allocation »
  David Sontag · Daniel Roy
• 2011 Spotlight: Complexity of Inference in Latent Dirichlet Allocation »
  David Sontag · Daniel Roy
• 2008 Workshop: Probabilistic Programming: Universal Languages, Systems and Applications »
  Daniel Roy · John Winn · David A McAllester · Vikash Mansinghka · Josh Tenenbaum
• 2008 Oral: The Mondrian Process »
  Daniel Roy · Yee Whye Teh
• 2008 Poster: The Mondrian Process »
  Daniel Roy · Yee Whye Teh
• 2007 Poster: Bayesian Agglomerative Clustering with Coalescents »
  Yee Whye Teh · Hal Daumé III · Daniel Roy
• 2007 Oral: Bayesian Agglomerative Clustering with Coalescents »
  Yee Whye Teh · Hal Daumé III · Daniel Roy
• 2006 Poster: Learning annotated hierarchies from relational data »
  Daniel Roy · Charles Kemp · Vikash Mansinghka · Josh Tenenbaum
• 2006 Talk: Learning annotated hierarchies from relational data »
  Daniel Roy · Charles Kemp · Vikash Mansinghka · Josh Tenenbaum