Philip Thompson

Optimization & Training · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Philip Thompson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Arkadi Nemirovski
  2. Yurii E. Nesterov
  3. Igor V. Konnov

Who trusts Philip Thompson overall

  1. Simon Lacoste-Julien
  2. Gauthier Gidel

Papers from Philip Thompson's perspective

Ordered by how strongly the researchers Philip Thompson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Primal-dual subgradient methods for convex problems
  2. Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems
  3. Robust Stochastic Approximation Approach to Stochastic Programming
  4. The extragradient method for finding saddle points and other problems
  5. Finite-Dimensional Variational Inequalities and Complementarity Problems
  6. Lectures on Stochastic Programming: Modeling and Theory
  7. Stochastic Approximation and Recursive Algorithms and Applications
  8. Randomized Smoothing for Stochastic Optimization
  9. Solving variational inequalities with Stochastic Mirror-Prox algorithm
  10. A Convergence Theorem for Non Negative Almost Supermartingales and Some Applications

Their papers