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Identifiers

  • name variant LIENS) 0.60 · backfill

Papers (33)

  1. Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains stat.ML · 2017 · author #2
  2. Learning Determinantal Point Processes in Sublinear Time stat.ML · 2016 · author #3
  3. Stochastic Optimization for Large-scale Optimal Transport math.OC · 2016 · author #7
  4. Highly-Smooth Zero-th Order Online Optimization Vianney Perchet cs.LG · 2016 · author #2
  5. Stochastic Variance Reduction Methods for Saddle-Point Problems cs.LG · 2016 · author #2
  6. Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression math.OC · 2016 · author #2
  7. Weakly-Supervised Alignment of Video With Text cs.CV · 2015 · author #2
  8. Learning the Structure for Structured Sparsity stat.ML · 2015 · author #2
  9. Sparse and spurious: dictionary learning with noise and outliers cs.LG · 2014 · author #4
  10. Sample Complexity of Dictionary Learning and other Matrix Factorizations stat.ML · 2013 · author #5
  11. Reflection methods for user-friendly submodular optimization cs.LG · 2013 · author #3
  12. Convex relaxations of structured matrix factorizations cs.LG · 2013 · author #2
  13. Minimizing Finite Sums with the Stochastic Average Gradient math.OC · 2013 · author #2
  14. Fast Convergence of Stochastic Gradient Descent under a Strong Growth Condition math.OC · 2013 · author #2
  15. Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) cs.LG · 2013 · author #2
  16. Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression math.ST · 2013 · author #2
  17. Duality between subgradient and conditional gradient methods cs.LG · 2012 · author #2
  18. Sharp analysis of low-rank kernel matrix approximations cs.LG · 2012 · author #2
  19. Convex Relaxation for Combinatorial Penalties stat.ML · 2012 · author #2
  20. On the Equivalence between Herding and Conditional Gradient Algorithms cs.LG · 2012 · author #2
  21. Multiple Operator-valued Kernel Learning stat.ML · 2012 · author #4
  22. A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets math.OC · 2012 · author #2
  23. Sparse Image Representation with Epitomes cs.LG · 2011 · author #5
  24. Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization cs.LG · 2011 · author #2
  25. Local Component Analysis cs.LG · 2011 · author #2
  26. Convex Analysis and Optimization with Submodular Functions: a Tutorial cs.LG · 2010 · author #2
  27. Task-Driven Dictionary Learning stat.ML · 2010 · author #2
  28. Proximal Methods for Hierarchical Sparse Coding stat.ML · 2010 · author #2
  29. Network Flow Algorithms for Structured Sparsity cs.LG · 2010 · author #2
  30. Structured sparsity-inducing norms through submodular functions cs.LG · 2010 · author #2
  31. Many-to-Many Graph Matching: a Continuous Relaxation Approach stat.ML · 2010 · author #3
  32. Online Learning for Matrix Factorization and Sparse Coding stat.ML · 2009 · author #4
  33. Supervised Dictionary Learning cs.CV · 2008 · author #4

Mentions

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Frequent Coauthors