Exploring Nips Spotlight Session 1 Optimization Spotlights
Let's dive into the details surrounding Nips Spotlight Session 1 Optimization Spotlights.
- B. Piot, M. Geist, O. Pietquin Difference of Convex Functions Programming for Reinforcement Learning S. Levine, P. Abbeel ...
- Poster
- J. Mairal, P. Koniusz, Z. Harchaoui, C. Schmid Convolutional Kernel Networks B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, A. Oliva ...
- NIPS
- M. Irfan, L. Ortiz Causal Strategic Inference in Networked Microfinance Economies D. Eigen, C. Puhrsch, R. Fergus Depth Map ...
In-Depth Information on Nips Spotlight Session 1 Optimization Spotlights
W. Su, S. Boyd, E. Candes A Differential Equation for Modeling NesterovΓÇÖs Accelerated Gradient Method: Theory and Insights ... Poster C. Zhang, K. Chaudhuri Beyond Disagreement-Based Agnostic Active Learning A. Sani, G. Neu, A. Lazaric Exploiting easy data in ... G. Bresler, G. Chen, D. Shah A Latent Source Model for Online Collaborative Filtering S. Lim, Y. Chen, H. Xu Clustering from ...
S. Nie, D. Maua, C. de Campos, Q. Ji Advances in Learning Bayesian Networks of Bounded Treewidth J. Tristan, D. Huang, ...
That wraps up our extensive overview of Nips Spotlight Session 1 Optimization Spotlights.
