Pragya Sur

Identifiers

• name variant Pragya Sur 0.60 · backfill

Papers (7)

1. Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models stat.ML · 2026 · author #4
2. Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models math.ST · 2026 · author #3
3. Multi-layer Cross-attention is Provably Optimal for Multi-modal In-context Learning stat.ML · 2026 · author #3
4. Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling math.ST · 2025 · author #2
5. The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression stat.ME · 2018 · author #2
6. The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square math.ST · 2017 · author #1
7. Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models stat.ME · 2013 · author #1

Mentions

• 2502.15131 #2 · arxiv_oai · confidence 0.70 Pragya Sur
• 1309.0579 #1 · backfill · confidence 0.70 Pragya Sur
• 2605.23145 #4 · arxiv_oai · confidence 0.70 Pragya Sur
• 2605.17778 #3 · arxiv_oai · confidence 0.70 Pragya Sur
• 2602.04872 #3 · arxiv_oai · confidence 0.70 Pragya Sur

Frequent Coauthors

• Conlan Olson 1 shared papers
• Debarghya Mukherjee 1 shared papers
• Emmanuel J. Cand\`es 1 shared papers
• Emmanuel J. Candes 1 shared papers
• Galit Shmueli 1 shared papers
• Linjun Zhang 1 shared papers
• Nicholas Barnfield 1 shared papers
• Paromita Dubey 1 shared papers
• Radu Lecoiu 1 shared papers
• Smarajit Bose 1 shared papers
• Subhabrata Sen 1 shared papers
• Yufan Li 1 shared papers
• Yuxin Chen 1 shared papers
• Zhun Deng 1 shared papers