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
10442011
Dynamic weighted majority: An ensemble method for drifting concepts
JZ Kolter, MA Maloof
Journal of Machine Learning Research 8 (Dec), 2755-2790, 2007
10012007
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
8732011
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
7302018
Learning to detect and classify malicious executables in the wild
JZ Kolter, MA Maloof
Journal of Machine Learning Research 7 (Dec), 2721-2744, 2006
6702006
Learning to detect malicious executables in the wild
JZ Kolter, MA Maloof
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
5652004
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
5432012
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, Z Kolter
International Conference on Machine Learning, 5286-5295, 2018
501*2018
Energy disaggregation via discriminative sparse coding
JZ Kolter, S Batra, AY Ng
Advances in Neural Information Processing Systems, 1153-1161, 2010
3442010
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
2692005
Certified adversarial robustness via randomized smoothing
JM Cohen, E Rosenfeld, JZ Kolter
arXiv preprint arXiv:1902.02918, 2019
2372019
Near-Bayesian exploration in polynomial time
JZ Kolter, AY Ng
Proceedings of the 26th annual international conference on machine learning …, 2009
2342009
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
2172009
Optnet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
arXiv preprint arXiv:1703.00443, 2017
1912017
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
1912008
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems, 8400-8409, 2018
1722018
Gradient descent GAN optimization is locally stable
V Nagarajan, JZ Kolter
Advances in neural information processing systems, 5585-5595, 2017
1542017
Hierarchical apprenticeship learning with application to quadruped locomotion
JZ Kolter, P Abbeel, AY Ng
Advances in Neural Information Processing Systems, 769-776, 2008
1532008
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
Sparse Gaussian conditional random fields: Algorithms, theory, and application to energy forecasting
M Wytock, Z Kolter
International conference on machine learning, 1265-1273, 2013
932013
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Articles 1–20