Statistics — Methodology

Papers

• Spokes: Optimizing for Diverse Pretraining Data Selection (2026)
  Clarence Lee et al.
  4.39
• Spectral Adaptive Conformal Prediction for Structured Non-Exchangeable Data (2026)
  Jeffery Opoku et al.
  4.39
• p-PSO: A Penalized Particle Swarm Optimization Technique for Finding D-Optimal Designs with Mixed Factors in Generalized Linear Models (2026)
  Shrabanti Chowdhury et al.
  4.39
• MA-SBI: Misspecification-Aware Simulation-Based Inference via Side-Channel Guidance (2026)
  Arunkumar V et al.
  4.39
• Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests (2026)
  Thanawat Lodkaew et al.
  3.51
• Adaptive Experimentation for Censored Survival Outcomes (2026)
  Yuxin Wang et al.
  2.00
• Data augmented bootstrap: Unifying confidence interval construction by approximate invariance (2026)
  Kevin Han Huang
  2.00
• Test-time Alignment of Diffusion Models without Reward Over-optimization (2025)
  Sunwoo Kim et al.
  1.06
• Straggler Mitigation in Distributed Optimization Through Data Encoding (2017)
  Can Karakus et al.
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• Robust and Accurate -- Compositional Architectures for Randomized Smoothing (2022)
  Mikl\'os Z. Horv\'ath et al.
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• Automatic Data Augmentation via Invariance-Constrained Learning (2022)
  Ignacio Hounie et al.
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• FRAPPE: A Group Fairness Framework for Post-Processing Everything (2023)
  Alexandru Tifrea et al.
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• Consistency Models for Scalable and Fast Simulation-Based Inference (2023)
  Marvin Schmitt et al.
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• Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting (2024)
  Antonina Krajewska and Ewa Niewiadomska-Szynkiewicz
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