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Ethan X. Fang

Identifiers

  • name variant Ethan X. Fang 0.60 · backfill

Papers (21)

  1. COOPA: A Modular LLM Agent Architecture for Operations Research Problems cs.LG · 2026 · author #4
  2. Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theory cs.AI · 2026 · author #3
  3. Fisher Random Walk: Automatic Debiasing Contextual Preference Inference for Large Language Model Evaluation stat.ML · 2025 · author #3
  4. Contextual Online Uncertainty-Aware Preference Learning for Human Feedback stat.ML · 2025 · author #3
  5. Confidence Diagram of Nonparametric Ranking for Uncertainty Assessment in Large Language Models Evaluation stat.ML · 2024 · author #3
  6. Anti-Concentration Inequalities for the Difference of Maxima of Gaussian Random Vectors math.ST · 2024 · author #2
  7. Pivotal Estimation of Linear Discriminant Analysis in High Dimensions math.ST · 2023 · author #1
  8. PASTA: Pessimistic Assortment Optimization cs.LG · 2023 · author #5
  9. Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models stat.ML · 2023 · author #3
  10. Stochastic Compositional Optimization with Compositional Constraints math.OC · 2022 · author #4
  11. Lagrangian Inference for Ranking Problems stat.ML · 2021 · author #2
  12. Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data cs.LG · 2021 · author #3
  13. Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy cs.LG · 2020 · author #3
  14. Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection stat.ML · 2020 · author #3
  15. High-dimensional Interactions Detection with Sparse Principal Hessian Matrix stat.ME · 2019 · author #2
  16. Multi-Level Stochastic Gradient Methods for Nested Composition Optimization math.OC · 2018 · author #3
  17. Misspecified Nonconvex Statistical Optimization for Phase Retrieval stat.ML · 2017 · author #3
  18. Max-Norm Optimization for Robust Matrix Recovery stat.ML · 2016 · author #1
  19. Accelerating Stochastic Composition Optimization math.OC · 2016 · author #3
  20. Testing and Confidence Intervals for High Dimensional Proportional Hazards Model stat.ML · 2014 · author #1
  21. Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions stat.ML · 2014 · author #2

Mentions

  • 2509.05852 #3 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2209.04086 #4 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2412.05506 #3 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2408.13348 #2 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2309.09831 #1 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2012.14098 #3 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2108.06808 #3 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2301.12254 #3 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2302.03821 #5 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2009.02003 #3 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 1901.07970 #2 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 1801.03600 #3 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 1712.06245 #3 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 1609.07664 #1 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 1607.07329 #3 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 1412.5158 #1 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 1411.3803 #2 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2110.00151 #2 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2606.27611 #4 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 2606.20642 #3 · arxiv_oai · confidence 0.70 Ethan X. Fang
  • 1412.5158 #1 · backfill · confidence 0.70 Ethan X. Fang
  • 1411.3803 #2 · backfill · confidence 0.70 Ethan X. Fang

Frequent Coauthors