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Francis Bach Computer scientist

Awards

INRIA Young Researcher Award, 2012.

European Research Council, Starting Grant, 2009.

Relevant Publications

F. Bach, "Learning with Submodular Functions: A Convex Optimization Perspective," Foundations and Trends in Machine Learning, vol. 6, no. 2-3, pp. 145-373, Dec. 2013.

F. Bach and E. Moulines, "Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)," Advances in Neural Information Processing Systems (NIPS), vol. 26, pp.773-781, 2013.

N. Le Roux et al, "A Stochastic Gradient Method with an Exponential Convergence Rate for Strongly-Convex Optimization with Finite Training Sets," Advances in Neural Information Processing Systems (NIPS), 2012.

F. Bach et al, "Structured sparsity through convex optimization," Stat. Sci., vol. 27, no. 4, pp. 450-468, Nov. 2012.

F. Bach et al, "Optimization with sparsity-inducing penalties," Foundations and Trends in Machine Learning, vol. 4, no. 1, pp. 1-106, Jan. 2012.

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Appointment

Senior Fellow Learning in Machines & Brains

Institution

InriaEcole Normale Superieure, Paris

Education

PhD (Computer Science) University of California, Berkeley

Country

France

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