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P. Shekhar

21 papers hereh-index 101.2k citations65 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author13
  • middle author5
  • last author2

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • stat.ML6
  • cs.CR3
  • cs.LG3
  • physics.optics3
  • cs.CV2
  • stat.AP2
same name
  • P. Shekhar — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142026
most citedHyperbolic metamaterials: fundamentals and applications

580 citations · 864 across the 20 of their papers we have counts for

collaborators
Showing 2026 · stat.MLShow all

4 papers · 2 filters

stat.ML2026

Decision-Calibrated Conformal Uncertainty for Pacing Decisions in Streaming Advertising

Prashant Shekhar, Caroline Howard

We develop a decision-calibrated conformal framework for pacing decisions in streaming advertising. Pacing depends on uncertain future inventory, demand pressure, incremental respo…

stat.ML2026

Privacy-Robust Incrementality Measurement for Advertising Systems under Signal Loss

Prashant Shekhar, Caroline Howard

Advertising platforms use randomized lift tests to measure incrementality, but privacy-preserving reporting systems degrade the observed signal through match-rate loss, linkability…

stat.ML2026

Choosing Online Experiment Designs under Interference in Ads, Recommendations, and Member-Experience Systems

Prashant Shekhar, Caroline Howard

Online experiments in ads, recommendation, and member-experience systems are often planned before the dominant interference mechanism is known. A treatment may propagate through bu…

stat.ML2026

Support-aware offline policy selection for advertising marketplaces

Prashant Shekhar, Caroline Howard

Logged advertising auctions make offline reserve-price evaluation attractive but risky. Replay tables can identify policies with large apparent yield gains, yet they can also hide…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.