Project-Team Sierra
Personnel
Overall Objectives
Statement
Research Program
Supervised Learning
Unsupervised Learning
Parsimony
Optimization
Application Domains
Application Domains
New Software and Platforms
ProxASAGA
object-states-action
New Results
On Structured Prediction Theory with Calibrated Convex Surrogate Losses
Domain-Adversarial Training of Neural Networks
Linearly Convergent Randomized Iterative Methods for Computing the Pseudoinverse
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization
Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains
AdaBatch: Efficient Gradient Aggregation Rules for Sequential and Parallel Stochastic Gradient Methods
Structure-Adaptive, Variance-Reduced, and Accelerated Stochastic Optimization
Exponential convergence of testing error for stochastic gradient methods
Optimal algorithms for smooth and strongly convex distributed optimization in networks
Stochastic Composite Least-Squares Regression with convergence rate O(1/n)
Sharpness, Restart and Acceleration
PAC-Bayes and Domain Adaptation
Kernel Square-Loss Exemplar Machines for Image Retrieval
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
PAC-Bayesian Analysis for a two-step Hierarchical Multiview Learning Approach
Integration Methods and Accelerated Optimization Algorithms
GANs for Biological Image Synthesis
Nonlinear Acceleration of Stochastic Algorithms
Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning
Frank-Wolfe Algorithms for Saddle Point Problems
Convex optimization over intersection of simple sets: improved convergence rate guarantees via an exact penalty approach
A Generic Approach for Escaping Saddle points
Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
Combinatorial Penalties: Which structures are preserved by convex relaxations?
On the Consistency of Ordinal Regression Methods
Iterative hard clustering of features
Asaga: Asynchronous Parallel Saga
Sparse Accelerated Exponential Weights
Bilateral Contracts and Grants with Industry
Bilateral Contracts with Industry
Bilateral Grants with Industry
Partnerships and Cooperations
National Initiatives
European Initiatives
International Initiatives
International Research Visitors
Dissemination
Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization
Bibliography
Publications of the year
Inria
|
Raweb 2017
|
Presentation of the Project-Team SIERRA
|
SIERRA Web Site
PDF
e-Pub
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Section: Partnerships and Cooperations
National Initiatives
A. d'Aspremont: IRIS, PSL “Science des données, données de la science”.
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