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
11972011
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
11802018
Dynamic weighted majority: An ensemble method for drifting concepts
JZ Kolter, MA Maloof
The Journal of Machine Learning Research 8, 2755-2790, 2007
10712007
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
10252011
Learning to detect and classify malicious executables in the wild.
JZ Kolter, MA Maloof
Journal of Machine Learning Research 7 (12), 2006
7272006
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, Z Kolter
International Conference on Machine Learning, 5286-5295, 2018
702*2018
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
6122012
Learning to detect malicious executables in the wild
JZ Kolter, MA Maloof
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
6002004
Certified adversarial robustness via randomized smoothing
J Cohen, E Rosenfeld, Z Kolter
International Conference on Machine Learning, 1310-1320, 2019
4482019
Energy disaggregation via discriminative sparse coding
J Kolter, S Batra, A Ng
Advances in neural information processing systems 23, 1153-1161, 2010
3822010
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
2942005
Optnet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
International Conference on Machine Learning, 136-145, 2017
2802017
Near-Bayesian exploration in polynomial time
JZ Kolter, AY Ng
Proceedings of the 26th annual international conference on machine learning …, 2009
2572009
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
2382009
Scaling provable adversarial defenses
E Wong, FR Schmidt, JH Metzen, JZ Kolter
arXiv preprint arXiv:1805.12514, 2018
2322018
Gradient descent GAN optimization is locally stable
V Nagarajan, JZ Kolter
arXiv preprint arXiv:1706.04156, 2017
2182017
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
2052008
Fast is better than free: Revisiting adversarial training
E Wong, L Rice, JZ Kolter
arXiv preprint arXiv:2001.03994, 2020
1702020
Hierarchical apprenticeship learning with application to quadruped locomotion
JZ Kolter, P Abbeel, AY Ng
Advances in Neural Information Processing Systems, 769-776, 2008
1672008
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 31, 7178-7189, 2018
1372018
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Articles 1–20