Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
On the model-based stochastic value gradient for continuous reinforcement learning

Aug 28, 2020
Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson


  Access Paper or Ask Questions

Improving GAN Training with Probability Ratio Clipping and Sample Reweighting

Jun 30, 2020
Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu

* Fixed typos. Code available at: https://github.com/Holmeswww/PPOGAN 

  Access Paper or Ask Questions

Why Normalizing Flows Fail to Detect Out-of-Distribution Data

Jun 15, 2020
Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson

* Code is available at https://github.com/PolinaKirichenko/flows_ood 

  Access Paper or Ask Questions

Bayesian Deep Learning and a Probabilistic Perspective of Generalization

Mar 17, 2020
Andrew Gordon Wilson, Pavel Izmailov

* 28 pages, 17 figures 

  Access Paper or Ask Questions

Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited

Mar 04, 2020
Wesley J. Maddox, Gregory Benton, Andrew Gordon Wilson


  Access Paper or Ask Questions

Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data

Feb 25, 2020
Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Gordon Wilson


  Access Paper or Ask Questions

The Case for Bayesian Deep Learning

Jan 29, 2020
Andrew Gordon Wilson


  Access Paper or Ask Questions

Semi-Supervised Learning with Normalizing Flows

Dec 30, 2019
Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson


  Access Paper or Ask Questions

Randomly Projected Additive Gaussian Processes for Regression

Dec 30, 2019
Ian A. Delbridge, David S. Bindel, Andrew Gordon Wilson


  Access Paper or Ask Questions

Function-Space Distributions over Kernels

Oct 29, 2019
Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey, Julio Albinati, Andrew Gordon Wilson

* Published at NeurIPS 2019 

  Access Paper or Ask Questions

BoTorch: Programmable Bayesian Optimization in PyTorch

Oct 14, 2019
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy


  Access Paper or Ask Questions

Subspace Inference for Bayesian Deep Learning

Jul 17, 2019
Pavel Izmailov, Wesley J. Maddox, Polina Kirichenko, Timur Garipov, Dmitry Vetrov, Andrew Gordon Wilson

* Published at UAI 2019 

  Access Paper or Ask Questions

SWALP : Stochastic Weight Averaging in Low-Precision Training

May 20, 2019
Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, Christopher De Sa

* Published at ICML 2019 

  Access Paper or Ask Questions

Simple Black-box Adversarial Attacks

May 17, 2019
Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger

* Published at ICML 2019 

  Access Paper or Ask Questions

SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


  Access Paper or Ask Questions

Exact Gaussian Processes on a Million Data Points

Mar 19, 2019
Ke Alexander Wang, Geoff Pleiss, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson


  Access Paper or Ask Questions

Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning

Mar 12, 2019
Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier, Andrew Gordon Wilson


  Access Paper or Ask Questions

Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Feb 11, 2019
Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson


  Access Paper or Ask Questions

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Feb 07, 2019
Wesley Maddox, Timur Garipov, Pavel Izmailov, Dmitry Vetrov, Andrew Gordon Wilson


  Access Paper or Ask Questions

Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction

Oct 30, 2018
William Herlands, Daniel B. Neill, Hannes Nickisch, Andrew Gordon Wilson


  Access Paper or Ask Questions

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Oct 30, 2018
Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin, Dmitry Vetrov, Andrew Gordon Wilson

* Appears at Advances in Neural Information Processing Systems (NIPS), 2018 

  Access Paper or Ask Questions

Scaling Gaussian Process Regression with Derivatives

Oct 29, 2018
David Eriksson, Kun Dong, Eric Hans Lee, David Bindel, Andrew Gordon Wilson

* Advances in Neural Information Processing Systems 32 (NIPS), 2018 
* Appears at Advances in Neural Information Processing Systems 32 (NIPS), 2018 

  Access Paper or Ask Questions

GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

Oct 29, 2018
Jacob R. Gardner, Geoff Pleiss, David Bindel, Kilian Q. Weinberger, Andrew Gordon Wilson

* NIPS 2018 

  Access Paper or Ask Questions

Averaging Weights Leads to Wider Optima and Better Generalization

Aug 08, 2018
Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, Dmitry Vetrov, Andrew Gordon Wilson

* Appears at the Conference on Uncertainty in Artificial Intelligence (UAI), 2018 

  Access Paper or Ask Questions

Constant-Time Predictive Distributions for Gaussian Processes

Jun 20, 2018
Geoff Pleiss, Jacob R. Gardner, Kilian Q. Weinberger, Andrew Gordon Wilson

* ICML 2018 

  Access Paper or Ask Questions

Improving Consistency-Based Semi-Supervised Learning with Weight Averaging

Jun 19, 2018
Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson

* Fixed a typo for the direction of inequality for $C(\alpha)$ in 3.2 

  Access Paper or Ask Questions

Probabilistic FastText for Multi-Sense Word Embeddings

Jun 07, 2018
Ben Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar

* Published at ACL 2018 

  Access Paper or Ask Questions