NIPS Proceedings
^{β}
Books
Francis Bach
15 Papers
Integration Methods and Optimization Algorithms
(2017)
Nonlinear Acceleration of Stochastic Algorithms
(2017)
On Structured Prediction Theory with Calibrated Convex Surrogate Losses
(2017)
PAC-Bayesian Theory Meets Bayesian Inference
(2016)
Parameter Learning for Log-supermodular Distributions
(2016)
Regularized Nonlinear Acceleration
(2016)
Stochastic Optimization for Large-scale Optimal Transport
(2016)
Stochastic Variance Reduction Methods for Saddle-Point Problems
(2016)
Rethinking LDA: Moment Matching for Discrete ICA
(2015)
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
(2015)
Metric Learning for Temporal Sequence Alignment
(2014)
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
(2014)
Convex Relaxations for Permutation Problems
(2013)
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
(2013)
Reflection methods for user-friendly submodular optimization
(2013)