Scholar
Jivat Neet Kaur
Google Scholar ID: O43_7KUAAAAJ
UC Berkeley
Citations & Impact
Citations
140
H-index
5
i10-index
3
Publications
15
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Strategic Feature Selection (Working paper, 2025)
- Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores (arXiv 2025)
- Speaking in Terms of Money: Financial Knowledge Acquisition via Speech Data Generation (COMPASS 2024)
- Modeling the data-generating process is necessary for out-of-distribution generalization (ICLR 2023, spotlight)
- Towards Modular Machine Learning Pipelines (ICML Workshop on Localized Learning 2023)
- LM-CORE: Language models with contextually relevant external knowledge (Findings of NAACL 2022)
- CoSe-Co: Text Conditioned Generative CommonSense Contextualizer (NAACL 2022)
- Modern baselines for SPARQL semantic parsing (SIGIR 2022)
- Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration (ICLR Workshop on Embodied Multimodal Learning 2021)
- Simulation and Selection of Detumbling Algorithms for a 3U CubeSat (International Astronautical Congress 2019)
Research Experience
- Previously, a pre-doctoral research fellow at Microsoft Research, working with Amit Sharma and Emre Kiciman on causal inference and out-of-distribution generalization.
Education
- PhD student at UC Berkeley, advised by Ahmed Alaa and Michael I. Jordan; Bachelor's (B.E.) in Computer Science from BITS Pilani, India, graduated in 2021.
Background
- Research interests include developing principled and robust solutions to ensure the reliable use of machine learning systems in real-world deployments, particularly using statistical tools for uncertainty quantification and decision-making.
Miscellany
- Personal interests not mentioned.
