default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJames Bergstra
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i13]Gautham Vasan, Yan Wang, Fahim Shahriar, James Bergstra, Martin Jägersand, A. Rupam Mahmood:
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning. CoRR abs/2407.00324 (2024)- 2023
- [i12]Bryan Chan, Karime Pereida, James Bergstra:
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning. CoRR abs/2311.01589 (2023) - 2020
- [i11]Youssef Zaky, Gaurav Paruthi, Bryan P. Tripp, James Bergstra:
Active Perception and Representation for Robotic Manipulation. CoRR abs/2003.06734 (2020)
2010 – 2019
- 2019
- [c20]Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra:
Autoregressive Policies for Continuous Control Deep Reinforcement Learning. IJCAI 2019: 2754-2762 - [p1]Brent Komer, James Bergstra, Chris Eliasmith:
Hyperopt-Sklearn. Automated Machine Learning 2019: 97-111 - [i10]Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra:
Autoregressive Policies for Continuous Control Deep Reinforcement Learning. CoRR abs/1903.11524 (2019) - 2018
- [c19]A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra:
Benchmarking Reinforcement Learning Algorithms on Real-World Robots. CoRL 2018: 561-591 - [c18]A. Rupam Mahmood, Dmytro Korenkevych, Brent J. Komer, James Bergstra:
Setting up a Reinforcement Learning Task with a Real-World Robot. IROS 2018: 4635-4640 - [i9]A. Rupam Mahmood, Dmytro Korenkevych, Brent J. Komer, James Bergstra:
Setting up a Reinforcement Learning Task with a Real-World Robot. CoRR abs/1803.07067 (2018) - [i8]A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra:
Benchmarking Reinforcement Learning Algorithms on Real-World Robots. CoRR abs/1809.07731 (2018) - 2016
- [i7]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - 2015
- [j6]Ian J. Goodfellow
, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio:
Challenges in representation learning: A report on three machine learning contests. Neural Networks 64: 59-63 (2015) - [e2]Kathryn Huff, James Bergstra:
Proceedings of the 14th Python in Science Conference 2015 (SciPy 2015), Austin, Texas, July 6 - 12, 2015. scipy.org 2015 [contents] - 2014
- [j5]Aaron C. Courville, Guillaume Desjardins, James Bergstra, Yoshua Bengio:
The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1874-1887 (2014) - [c17]Andy Terrel, Jonathan Rocher, Stéfan van der Walt, James Bergstra:
Preface. SciPy 2014: 1- - [c16]Brent Komer, James Bergstra, Chris Eliasmith:
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn. SciPy 2014: 32-37 - [e1]Stéfan van der Walt, James Bergstra:
Proceedings of the 13th Python in Science Conference, SciPy 2014, Austin, Texas, July 6 - 12, 2014. scipy.org 2014 [contents] - 2013
- [j4]Trevor Bekolay, James Bergstra, Eric Hunsberger, Travis DeWolf, Terrence C. Stewart, Daniel Rasmussen, Feng-Xuan Choo, Aaron Voelker, Chris Eliasmith:
Nengo: a Python tool for building large-scale functional brain models. Frontiers Neuroinformatics 7: 48 (2013) - [c15]Eric Hunsberger, Peter Blouw, James Bergstra, Chris Eliasmith:
A Neural Model of Human Image Categorization. CogSci 2013 - [c14]James Bergstra, Daniel Yamins, David D. Cox:
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures. ICML (1) 2013: 115-123 - [c13]Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio:
Challenges in Representation Learning: A Report on Three Machine Learning Contests. ICONIP (3) 2013: 117-124 - [c12]James Bergstra, Dan Yamins, David D. Cox:
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms. SciPy 2013: 13-19 - [c11]James Bergstra, Nicolas Pinto, David D. Cox:
SkData: Data Sets and Algorithm Evaluation Protocols in Python. SciPy 2013: 20-26 - [i6]James Bergstra, David D. Cox:
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be? CoRR abs/1306.3476 (2013) - [i5]Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio:
Challenges in Representation Learning: A report on three machine learning contests. CoRR abs/1307.0414 (2013) - [i4]Ian J. Goodfellow, David Warde-Farley, Pascal Lamblin, Vincent Dumoulin, Mehdi Mirza, Razvan Pascanu, James Bergstra, Frédéric Bastien, Yoshua Bengio:
Pylearn2: a machine learning research library. CoRR abs/1308.4214 (2013) - 2012
- [j3]James Bergstra, Yoshua Bengio:
Random Search for Hyper-Parameter Optimization. J. Mach. Learn. Res. 13: 281-305 (2012) - [c10]Grégoire Mesnil, Yann N. Dauphin, Xavier Glorot, Salah Rifai, Yoshua Bengio, Ian J. Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, Pascal Vincent, Aaron C. Courville, James Bergstra:
Unsupervised and Transfer Learning Challenge: a Deep Learning Approach. ICML Unsupervised and Transfer Learning 2012: 97-110 - [i3]James Bergstra, Dan Yamins, David D. Cox:
Making a Science of Model Search. CoRR abs/1209.5111 (2012) - [i2]Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian J. Goodfellow, Arnaud Bergeron, Nicolas Bouchard, David Warde-Farley, Yoshua Bengio:
Theano: new features and speed improvements. CoRR abs/1211.5590 (2012) - 2011
- [j2]James Bergstra, Yoshua Bengio, Jérôme Louradour:
Suitability of V1 Energy Models for Object Classification. Neural Comput. 23(3): 774-790 (2011) - [c9]Aaron C. Courville, James Bergstra, Yoshua Bengio:
Unsupervised Models of Images by Spikeand-Slab RBMs. ICML 2011: 1145-1152 - [c8]James Bergstra, Rémi Bardenet, Yoshua Bengio, Balázs Kégl:
Algorithms for Hyper-Parameter Optimization. NIPS 2011: 2546-2554 - [c7]Aaron C. Courville, James Bergstra, Yoshua Bengio:
A Spike and Slab Restricted Boltzmann Machine. AISTATS 2011: 233-241 - [i1]James Bergstra, Aaron C. Courville, Yoshua Bengio:
The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All). CoRR abs/1109.6638 (2011) - 2010
- [c6]James Bergstra, Michael I. Mandel, Douglas Eck:
Scalable Genre and Tag Prediction with Spectral Covariance. ISMIR 2010: 507-512 - [c5]James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph P. Turian, David Warde-Farley, Yoshua Bengio:
Theano: A CPU and GPU Math Compiler in Python. SciPy 2010: 18-24
2000 – 2009
- 2009
- [c4]Joseph P. Turian, James Bergstra, Yoshua Bengio:
Quadratic Features and Deep Architectures for Chunking. HLT-NAACL (Short Papers) 2009: 245-248 - [c3]James Bergstra, Yoshua Bengio:
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks. NIPS 2009: 99-107 - 2007
- [c2]Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio:
An empirical evaluation of deep architectures on problems with many factors of variation. ICML 2007: 473-480 - 2006
- [j1]James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, Balázs Kégl:
Aggregate features and ADABOOSTfor music classification. Mach. Learn. 65(2-3): 473-484 (2006) - [c1]James Bergstra, Alexandre Lacoste, Douglas Eck:
Predicting genre labels for artist using FreeDB. ISMIR 2006: 85-88
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-14 22:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
