Biblio
Filters: Author is Joseph Wang [Clear All Filters]
Structural similarity and distance in learning. 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011, Allerton Park {&} Retreat Center, Monticello, IL, USA, 28-30 September, 2011. :744–751.
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2011.
Local Supervised Learning through Space Partitioning. Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States.. :91–99.
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2012.
Online local linear classification. 5th {IEEE} International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, {CAMSAP} 2013, St. Martin, France, December 15-18, 2013. :173–176.
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2013.
Locally-Linear Learning Machines (L3M). Asian Conference on Machine Learning, {ACML} 2013, Canberra, ACT, Australia, November 13-15, 2013. 29:451–466.
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2013.
Fast margin-based cost-sensitive classification. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :2952–2956.
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2014.
Model Selection by Linear Programming. Computer Vision - {ECCV} 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part {II}. 8690:647–662.
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2014.
An LP for Sequential Learning Under Budgets. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:987–995.
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2014.
Sensor Selection by Linear Programming. CoRR. abs/1509.02954
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2015.
Max-Cost Discrete Function Evaluation Problem under a Budget. CoRR. abs/1501.02702
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2015.
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. :2152–2160.
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2015.
Structured Prediction with Test-time Budget Constraints. CoRR. abs/1602.08761
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2016.
Optimally Pruning Decision Tree Ensembles With Feature Cost. CoRR. abs/1601.00955
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2016.
Energy-Efficient Adaptive Classifier Design for Mobile Systems. Proceedings of the 2016 International Symposium on Low Power Electronics and Design, {ISLPED} 2016, San Francisco Airport, CA, USA, August 08 - 10, 2016. :52–57.
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2016.
Field of Groves: An Energy-Efficient Random Forest. CoRR. abs/1704.02978
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2017.
Adaptive Neural Networks for Fast Test-Time Prediction. CoRR. abs/1702.07811
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2017.
An LP for Sequential Learning Under Budgets. {AISTATS}. 33:987–995.
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Submitted.
Feature-Budgeted Random Forest. Proceedings of the 32nd International Conference on Machine Learning. 37:1983–1991.
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2015.
Pruning Random Forests for Prediction on a Budget. {NIPS}. :2334–2342.
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2016.
Adaptive Neural Networks for Efficient Inference. {ICML}. 70:527–536.
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2017.
Resource Constrained Structured Prediction. {AAAI}. :1756–1762.
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2017.