Zico Kolter
Zico Kolter
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.cmu.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
REDD: A public data set for energy disaggregation research
JZ Kolter, MJ Johnson
Workshop on data mining applications in sustainability (SIGKDD), San Diego …, 2011
10262011
Dynamic weighted majority: An ensemble method for drifting concepts
JZ Kolter, MA Maloof
Journal of Machine Learning Research 8 (Dec), 2755-2790, 2007
9922007
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
8522011
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
6982018
Learning to detect and classify malicious executables in the wild
JZ Kolter, MA Maloof
Journal of Machine Learning Research 7 (Dec), 2721-2744, 2006
6682006
Learning to detect malicious executables in the wild
JZ Kolter, MA Maloof
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
5602004
Approximate inference in additive factorial hmms with application to energy disaggregation
JZ Kolter, T Jaakkola
Artificial intelligence and statistics, 1472-1482, 2012
5342012
Provable defenses against adversarial examples via the convex outer adversarial polytope
E Wong, Z Kolter
International Conference on Machine Learning, 5286-5295, 2018
475*2018
Energy disaggregation via discriminative sparse coding
JZ Kolter, S Batra, AY Ng
Advances in Neural Information Processing Systems, 1153-1161, 2010
3412010
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
2682005
Near-Bayesian exploration in polynomial time
JZ Kolter, AY Ng
Proceedings of the 26th annual international conference on machine learning …, 2009
2322009
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
2152009
Certified adversarial robustness via randomized smoothing
JM Cohen, E Rosenfeld, JZ Kolter
arXiv preprint arXiv:1902.02918, 2019
2072019
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
1882008
Optnet: Differentiable optimization as a layer in neural networks
B Amos, JZ Kolter
arXiv preprint arXiv:1703.00443, 2017
1812017
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems, 8400-8409, 2018
1652018
Hierarchical apprenticeship learning with application to quadruped locomotion
JZ Kolter, P Abbeel, AY Ng
Advances in Neural Information Processing Systems, 769-776, 2008
1532008
Gradient descent GAN optimization is locally stable
V Nagarajan, JZ Kolter
Advances in neural information processing systems, 5585-5595, 2017
1462017
A large-scale study on predicting and contextualizing building energy usage
JZ Kolter, J Ferreira
Twenty-fifth AAAI conference on 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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Artikkelit 1–20