Paul Mineiro
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
6
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Efficient Contextual Bandits with Uninformed Feedback Graphs. | Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro |
| 2023 | ICLR | Personalized Reward Learning with Interaction-Grounded Learning (IGL). | Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan |
| 2023 | ICML | Infinite Action Contextual Bandits with Reusable Data Exhaust. | Mark Rucker, Yinglun Zhu, Paul Mineiro |
| 2022 | ICML | Contextual Bandits with Large Action Spaces: Made Practical. | Yinglun Zhu, Dylan J. Foster, John Langford, Paul Mineiro |
| 2022 | ICML | Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces. | Yinglun Zhu, Paul Mineiro |
| 2022 | RecSys | Interaction-Grounded Learning for Recommender Systems. | Jessica Maghakian, Kishan Panaganti, Paul Mineiro, Akanksha Saran, Cheng Tan |
| 2022 | SIGMOD | Deploying a Steered Query Optimizer in Production at Microsoft. | Wangda Zhang, Matteo Interlandi, Paul Mineiro, Shi Qiao, Nasim Ghazanfari, Karlen Lie, Marc T. Friedman, Rafah Hosn, Hiren Patel, Alekh Jindal |
| 2021 | ICML | Off-Policy Confidence Sequences. | Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas |
| 2021 | ICML | ChaCha for Online AutoML. | Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi |
| 2021 | ICML | Interaction-Grounded Learning. | Tengyang Xie, John Langford, Paul Mineiro, Ida Momennejad |
| 2019 | ICML | Contextual Memory Trees. | Wen Sun, Alina Beygelzimer, Hal Daum III, John Langford, Paul Mineiro |
| 2017 | ICML | Logarithmic Time One-Against-Some. | Hal Daum III, Nikos Karampatziakis, John Langford, Paul Mineiro |
| 2014 | ICML | Discriminative Features via Generalized Eigenvectors. | Nikos Karampatziakis, Paul Mineiro |
| 2013 | ICDE | Machine learning on Big Data. | Tyson Condie, Paul Mineiro, Neoklis Polyzotis, Markus Weimer |
| 2013 | ICML | Loss-Proportional Subsampling for Subsequent ERM. | Paul Mineiro, Nikos Karampatziakis |
| 2013 | SIGMOD | Machine learning for big data. | Tyson Condie, Paul Mineiro, Neoklis Polyzotis, Markus Weimer |
| 2013 | UAI | Normalized Online Learning. | Stphane Ross, Paul Mineiro, John Langford |