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
11342011
Dynamic weighted majority: An ensemble method for drifting concepts
JZ Kolter, MA Maloof
Journal of Machine Learning Research 8 (Dec), 2755-2790, 2007
10462007
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
10242018
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
9682011
Learning to detect and classify malicious executables in the wild
JZ Kolter, MA Maloof
Journal of Machine Learning Research 7 (Dec), 2721-2744, 2006
7012006
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, Z Kolter
International Conference on Machine Learning, 5286-5295, 2018
639*2018
Learning to detect malicious executables in the wild
JZ Kolter, MA Maloof
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
5872004
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
5852012
Energy disaggregation via discriminative sparse coding
J Kolter, S Batra, A Ng
Advances in neural information processing systems 23, 1153-1161, 2010
3692010
Certified adversarial robustness via randomized smoothing
JM Cohen, E Rosenfeld, JZ Kolter
arXiv preprint arXiv:1902.02918, 2019
3622019
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
2782005
Near-Bayesian exploration in polynomial time
JZ Kolter, AY Ng
Proceedings of the 26th annual international conference on machine learning …, 2009
2482009
Optnet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
arXiv preprint arXiv:1703.00443, 2017
2472017
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
2332009
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems, 8400-8409, 2018
2182018
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
2022008
Gradient descent GAN optimization is locally stable
V Nagarajan, JZ Kolter
Advances in neural information processing systems, 5585-5595, 2017
1972017
Hierarchical apprenticeship learning with application to quadruped locomotion
J Kolter, P Abbeel, A Ng
Advances in Neural Information Processing Systems 20, 769-776, 2007
1652007
A large-scale study on predicting and contextualizing building energy usage
J Kolter, J Ferreira
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011
1252011
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
1242018
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Articles 1–20