Zico Kolter
Title
Cited by
Cited by
Year
REDD: A public data set for energy disaggregation research
JZ Kolter, MJ Johnson
Workshop on data mining applications in sustainability (SIGKDD), San Diego …, 2011
10532011
Dynamic weighted majority: An ensemble method for drifting concepts
JZ Kolter, MA Maloof
Journal of Machine Learning Research 8 (Dec), 2755-2790, 2007
10082007
Towards fully autonomous driving: Systems and algorithms
J Levinson, J Askeland, J Becker, J Dolson, D Held, S Kammel, JZ Kolter, ...
2011 IEEE Intelligent Vehicles Symposium (IV), 163-168, 2011
8992011
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
8042018
Learning to detect and classify malicious executables in the wild
JZ Kolter, MA Maloof
Journal of Machine Learning Research 7 (Dec), 2721-2744, 2006
6742006
Learning to detect malicious executables in the wild
JZ Kolter, MA Maloof
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
5742004
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
5512012
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, Z Kolter
International Conference on Machine Learning, 5286-5295, 2018
536*2018
Energy disaggregation via discriminative sparse coding
JZ Kolter, S Batra, AY Ng
Advances in Neural Information Processing Systems, 1153-1161, 2010
3532010
Using additive expert ensembles to cope with concept drift
JZ Kolter, MA Maloof
Proceedings of the 22nd international conference on Machine learning, 449-456, 2005
2702005
Certified adversarial robustness via randomized smoothing
JM Cohen, E Rosenfeld, JZ Kolter
arXiv preprint arXiv:1902.02918, 2019
2622019
Near-Bayesian exploration in polynomial time
JZ Kolter, AY Ng
Proceedings of the 26th annual international conference on machine learning …, 2009
2332009
Regularization and feature selection in least-squares temporal difference learning
JZ Kolter, AY Ng
Proceedings of the 26th annual international conference on machine learning …, 2009
2192009
Optnet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
arXiv preprint arXiv:1703.00443, 2017
2012017
A control architecture for quadruped locomotion over rough terrain
JZ Kolter, MP Rodgers, AY Ng
2008 IEEE International Conference on Robotics and Automation, 811-818, 2008
1952008
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems, 8400-8409, 2018
1812018
Gradient descent GAN optimization is locally stable
V Nagarajan, JZ Kolter
Advances in neural information processing systems, 5585-5595, 2017
1622017
Hierarchical apprenticeship learning with application to quadruped locomotion
JZ Kolter, P Abbeel, AY Ng
Advances in Neural Information Processing Systems, 769-776, 2008
1562008
A large-scale study on predicting and contextualizing building energy usage
JZ Kolter, J Ferreira Jr
Association for the Advancement of Artificial Intelligence, 2011
1222011
End-to-end differentiable physics for learning and control
F de Avila Belbute-Peres, K Smith, K Allen, J Tenenbaum, JZ Kolter
Advances in Neural Information Processing Systems, 7178-7189, 2018
942018
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Articles 1–20