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Meisam Razaviyayn

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Papers (31)

  1. Sampling More, Getting Less: Calibration is the Diversity Bottleneck in LLMs cs.CL · 2026 · author #8
  2. Early Stopping for Large Reasoning Models via Confidence Dynamics cs.CL · 2026 · author #4
  3. Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization cs.LG · 2024 · author #2
  4. SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems math.OC · 2019 · author #2
  5. Training generative networks using random discriminators cs.LG · 2019 · author #2
  6. A Trust Region Method for Finding Second-Order Stationarity in Linearly Constrained Non-Convex Optimization math.OC · 2019 · author #2
  7. Computational RAM to Accelerate String Matching at Scale cs.AR · 2018 · author #6
  8. Solving Non-Convex Non-Concave Min-Max Games Under Polyak-{\L}ojasiewicz Condition math.OC · 2018 · author #2
  9. A Linearly Convergent Doubly Stochastic Gauss-Seidel Algorithm for Solving Linear Equations and A Certain Class of Over-Parameterized Optimization Problems math.OC · 2018 · author #1
  10. On the Behavior of the Expectation-Maximization Algorithm for Mixture Models cs.LG · 2018 · author #2
  11. Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization math.OC · 2018 · author #3
  12. On the Convergence and Robustness of Training GANs with Regularized Optimal Transport cs.LG · 2018 · author #3
  13. Minimax Optimality of Sign Test for Paired Heterogeneous Data math.ST · 2018 · author #2
  14. On Optimal Generalizability in Parametric Learning stat.ML · 2017 · author #2
  15. On the Pervasiveness of Difference-Convexity in Optimization and Statistics math.OC · 2017 · author #3
  16. Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization cs.NA · 2016 · author #5
  17. A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data math.OC · 2015 · author #2
  18. Computing B-Stationary Points of Nonsmooth DC Programs math.OC · 2015 · author #2
  19. Computational Intractability of Dictionary Learning for Sparse Representation cs.LG · 2015 · author #1
  20. Discrete R\'enyi Classifiers cs.LG · 2015 · author #1
  21. Minimum HGR Correlation Principle: From Marginals to Joint Distribution cs.IT · 2015 · author #2
  22. Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems math.OC · 2014 · author #3
  23. Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization math.OC · 2014 · author #1
  24. A Block Successive Upper Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization math.OC · 2014 · author #4
  25. Iteration Complexity Analysis of Block Coordinate Descent Methods math.OC · 2013 · author #3
  26. A Stochastic Successive Minimization Method for Nonsmooth Nonconvex Optimization with Applications to Transceiver Design in Wireless Communication Networks math.OC · 2013 · author #1
  27. Joint User Grouping and Linear Virtual Beamforming: Complexity, Algorithms and Approximation Bounds cs.IT · 2012 · author #3
  28. A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization math.OC · 2012 · author #1
  29. Linear Transceiver Design for a MIMO Interfering Broadcast Channel Achieving Max-Min Fairness cs.IT · 2012 · author #1
  30. On the Degrees of Freedom Achievable Through Interference Alignment in a MIMO Interference Channel cs.IT · 2011 · author #1
  31. Linear Transceiver Design for Interference Alignment: Complexity and Computation cs.IT · 2010 · author #1

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