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Ashok Cutkosky

Identifiers

  • name variant Ashok Cutkosky 0.60 · backfill

Papers (12)

  1. Adaptive Weighted Averaging cs.LG · 2026 · author #2
  2. Matrix-Free Preconditioning in Online Learning cs.LG · 2019 · author #1
  3. Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration cs.LG · 2019 · author #2
  4. Anytime Online-to-Batch Conversions, Optimism, and Acceleration stat.ML · 2019 · author #1
  5. Artificial Constraints and Lipschitz Hints for Unconstrained Online Learning stat.ML · 2019 · author #1
  6. Combining Online Learning Guarantees stat.ML · 2019 · author #1
  7. Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization cs.LG · 2019 · author #2
  8. Black-Box Reductions for Parameter-free Online Learning in Banach Spaces cs.LG · 2018 · author #1
  9. Distributed Stochastic Optimization via Adaptive SGD stat.ML · 2018 · author #1
  10. Online Learning Without Prior Information cs.LG · 2017 · author #1
  11. Online Convex Optimization with Unconstrained Domains and Losses cs.LG · 2017 · author #1
  12. Associated Primes of the Square of the Alexander Dual of Hypergraphs math.AC · 2009 · author #1

Mentions

  • 2606.12763 #2 · arxiv_oai · confidence 0.70 Ashok Cutkosky
  • 0901.1678 #1 · backfill · confidence 0.70 Ashok Cutkosky

Frequent Coauthors