Media Summary: W. Su, S. Boyd, E. Candes A Differential Equation for Modeling NesterovΓÇÖs Accelerated Gradient Method: Theory and Insights ... Provable Submodular Minimization using Wolfe's Algorithm Owing to several applications in large scale learning and vision ... C. Zhang, K. Chaudhuri Beyond Disagreement-Based Agnostic Active Learning A. Sani, G. Neu, A. Lazaric Exploiting easy data in ...

Nips Spotlight Session 1 Optimization - Detailed Analysis & Overview

W. Su, S. Boyd, E. Candes A Differential Equation for Modeling NesterovΓÇÖs Accelerated Gradient Method: Theory and Insights ... Provable Submodular Minimization using Wolfe's Algorithm Owing to several applications in large scale learning and vision ... 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 ... A primal-dual method for conic constrained distributed J. Mairal, P. Koniusz, Z. Harchaoui, C. Schmid Convolutional Kernel Networks B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, A. Oliva ...

G. Bresler, G. Chen, D. Shah A Latent Source Model for Online Collaborative Filtering S. Lim, Y. Chen, H. Xu Clustering from ...

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NIPS: Spotlight Session 1 - Optimization Spotlights
NIPS Poster Spotlight Session 1
NIPS: Oral Session 1 - Deeparnab Chakrabarty
NIPS: Oral Session 1 - Yurii Nesterov
NIPS: Spotlight Session 6 - Learning Theory Spotlights
NIPS 2016 Workshop on Nonconvex Optimization: Morning Poster Spotlight
NIPS 2016 Workshop on Nonconvex Optimization: Afternoon Poster Spotlight
NIPS: Spotlight Session 7: Reinforcement Learning Spotlights
NIPS 2017 - Straggler mitigation in distributed optimization through data encoding
Spotlight video NIPS 2016
NIPS Poster Spotlight Session 2
NIPS: Spotlight Session 4 - Deep Spotlights
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NIPS: Spotlight Session 1 - Optimization Spotlights

NIPS: Spotlight Session 1 - Optimization Spotlights

W. Su, S. Boyd, E. Candes A Differential Equation for Modeling NesterovΓÇÖs Accelerated Gradient Method: Theory and Insights ...

NIPS Poster Spotlight Session 1

NIPS Poster Spotlight Session 1

Poster

NIPS: Oral Session 1 - Deeparnab Chakrabarty

NIPS: Oral Session 1 - Deeparnab Chakrabarty

Provable Submodular Minimization using Wolfe's Algorithm Owing to several applications in large scale learning and vision ...

NIPS: Oral Session 1 - Yurii Nesterov

NIPS: Oral Session 1 - Yurii Nesterov

Subgradient Methods for Huge-Scale

NIPS: Spotlight Session 6 - Learning Theory Spotlights

NIPS: Spotlight Session 6 - Learning Theory Spotlights

C. Zhang, K. Chaudhuri Beyond Disagreement-Based Agnostic Active Learning A. Sani, G. Neu, A. Lazaric Exploiting easy data in ...

NIPS 2016 Workshop on Nonconvex Optimization: Morning Poster Spotlight

NIPS 2016 Workshop on Nonconvex Optimization: Morning Poster Spotlight

NIPS

NIPS 2016 Workshop on Nonconvex Optimization: Afternoon Poster Spotlight

NIPS 2016 Workshop on Nonconvex Optimization: Afternoon Poster Spotlight

NIPS

NIPS: Spotlight Session 7: Reinforcement Learning Spotlights

NIPS: Spotlight Session 7: Reinforcement Learning Spotlights

B. Piot, M. Geist, O. Pietquin Difference of Convex Functions Programming for Reinforcement Learning S. Levine, P. Abbeel ...

NIPS 2017 - Straggler mitigation in distributed optimization through data encoding

NIPS 2017 - Straggler mitigation in distributed optimization through data encoding

Spotlight

Spotlight video NIPS 2016

Spotlight video NIPS 2016

A primal-dual method for conic constrained distributed

NIPS Poster Spotlight Session 2

NIPS Poster Spotlight Session 2

Poster

NIPS: Spotlight Session 4 - Deep Spotlights

NIPS: Spotlight Session 4 - Deep Spotlights

J. Mairal, P. Koniusz, Z. Harchaoui, C. Schmid Convolutional Kernel Networks B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, A. Oliva ...

NIPS: Spotlight Session 2 - Large Scale Learning Spotlights

NIPS: Spotlight Session 2 - Large Scale Learning Spotlights

G. Bresler, G. Chen, D. Shah A Latent Source Model for Online Collaborative Filtering S. Lim, Y. Chen, H. Xu Clustering from ...