Exploring Nips Spotlight Session 1 Optimization Spotlights
Let's dive into the details surrounding Nips Spotlight Session 1 Optimization Spotlights.
- M. Irfan, L. Ortiz Causal Strategic Inference in Networked Microfinance Economies D. Eigen, C. Puhrsch, R. Fergus Depth Map ...
- G. Bresler, G. Chen, D. Shah A Latent Source Model for Online Collaborative Filtering S. Lim, Y. Chen, H. Xu Clustering from ...
- J. Mairal, P. Koniusz, Z. Harchaoui, C. Schmid Convolutional Kernel Networks B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, A. Oliva ...
- NIPS
- S. Nie, D. Maua, C. de Campos, Q. Ji Advances in Learning Bayesian Networks of Bounded Treewidth J. Tristan, D. Huang, ...
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 ... B. Piot, M. Geist, O. Pietquin Difference of Convex Functions Programming for Reinforcement Learning S. Levine, P. Abbeel ...
Poster
That wraps up our extensive overview of Nips Spotlight Session 1 Optimization Spotlights.
