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Section: Highlights of the Year
Highlights of the Year
F. Bach has served as a program co-chair for the International Conference in Machine Learning (ICML) held in Lille, France, 2015.
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- On the Global Linear Convergence of Frank-Wolfe Optimization Variants
- Barrier Frank-Wolfe for Marginal Inference
- Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
- Variance Reduced Stochastic Gradient Descent with Neighbors
- Rethinking LDA: Moment Matching for Discrete ICA
- Tensorizing Neural Networks
- Context-Aware CNNs for Person Head Detection
- Unsupervised Learning from Narrated Instruction Videos
- On Pairwise Cost for Multi-Object Network Flow Tracking
- Multi-utility Learning: Structured-Output Learning with Multiple Annotation-Specific Loss Functions
- Convex Optimization for Parallel Energy Minimization
- Active-set Methods for Submodular Optimization
- Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
- On the Equivalence between Quadrature Rules and Random Features
- Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs
- A Riemannian Low-Rank Method for Optimization over Semidefinite Matrices with Block-Diagonal Constraints
- Tightness of the Maximum Likelihood Semidefinite Relaxation for Angular Synchronization
- Coherent Diffractive Imaging Using Randomly Coded Masks
- Renegar's Condition Number and Compressed Sensing Performance
- Supervised Clustering in the Data Cube
- Convex Relaxations for Permutation Problems
- Phase Recovery, MaxCut and Complex Semidefinite Programming
- Choice of
V V - Gains and Losses are Fundamentally Different in Regret Minimization: The Sparse Case
- Batched Bandit Problems
- Online Learning in Repeated Auctions
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography