Nakhost, Hootan

6 publications

TMLR 2024 SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL Ruoxi Sun, Sercan O Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister

NeurIPS 2024 Teach Better or Show Smarter? on Instructions and Exemplars in Automatic Prompt Optimization Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arık

NeurIPS 2020 Interpretable Sequence Learning for Covid-19 Forecasting Sercan Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

IJCAI 2013 Towards a Second Generation Random Walk Planner: An Experimental Exploration Hootan Nakhost, Martin Müller

AAAI 2011 A Local Monte Carlo Tree Search Approach in Deterministic Planning Fan Xie, Hootan Nakhost, Martin Müller

IJCAI 2009 Monte-Carlo Exploration for Deterministic Planning Hootan Nakhost, Martin Müller