Exploring Nips Spotlight Session 1 Optimization Spotlights
Let's dive into the details surrounding Nips Spotlight Session 1 Optimization Spotlights.
- P. Putzky, F. Franzen, G. Bassetto, J. Macke A Bayesian model for identifying hierarchically organised states in neural population ...
- B. Piot, M. Geist, O. Pietquin Difference of Convex Functions Programming for Reinforcement Learning S. Levine, P. Abbeel ...
- Provable Submodular Minimization using Wolfe's Algorithm Owing to several applications in large scale learning and vision ...
- Poster
- 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 ... G. Bresler, G. Chen, D. Shah A Latent Source Model for Online Collaborative Filtering S. Lim, Y. Chen, H. Xu Clustering from ...
M. Irfan, L. Ortiz Causal Strategic Inference in Networked Microfinance Economies D. Eigen, C. Puhrsch, R. Fergus Depth Map ...
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