Alina Beygelzimer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
14
Active years
2001–2019
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2019 | ICML | Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. | Alina Beygelzimer, Dvid Pl, Balzs Szrnyi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang |
| 2019 | ICML | Contextual Memory Trees. | Wen Sun, Alina Beygelzimer, Hal Daum III, John Langford, Paul Mineiro |
| 2018 | ICML | A Reductions Approach to Fair Classification. | Alekh Agarwal, Alina Beygelzimer, Miroslav Dudk, John Langford, Hanna M. Wallach |
| 2017 | ICML | Efficient Online Bandit Multiclass Learning with Õ(√T) Regret. | Alina Beygelzimer, Francesco Orabona, Chicheng Zhang |
| 2016 | IJCAI | Optimal and Adaptive Algorithms for Online Boosting. | Alina Beygelzimer, Satyen Kale, Haipeng Luo |
| 2015 | ICML | Optimal and Adaptive Algorithms for Online Boosting. | Alina Beygelzimer, Satyen Kale, Haipeng Luo |
| 2012 | AAMAS | Learning performance of prediction markets with Kelly bettors. | Alina Beygelzimer, John Langford, David M. Pennock |
| 2009 | ALT | Error-Correcting Tournaments. | Alina Beygelzimer, John Langford, Pradeep Ravikumar |
| 2009 | ICML | Importance weighted active learning. | Alina Beygelzimer, Sanjoy Dasgupta, John Langford |
| 2009 | ICML | Tutorial summary: Reductions in machine learning. | Alina Beygelzimer, John Langford, Bianca Zadrozny |
| 2009 | KDD | The offset tree for learning with partial labels. | Alina Beygelzimer, John Langford |
| 2009 | UAI | Conditional Probability Tree Estimation Analysis and Algorithms. | Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl |
| 2008 | MASS | The benefits of directional antennas in heterogeneouswireless ad-hoc networks. | Alina Beygelzimer, Aaron Kershenbaum, Kang-Won Lee, Vasileios Pappas |
| 2008 | SRDS | Scalable Topology Discovery and Link State Detection Using Routing Events. | Mudhakar Srivatsa, Bong Jun Ko, Alina Beygelzimer, Venkateshwara Madduri |
| 2007 | COLT | Robust Reductions from Ranking to Classification. | Maria-Florina Balcan, Nikhil Bansal, Alina Beygelzimer, Don Coppersmith, John Langford, Gregory B. Sorkin |
| 2006 | ICML | Agnostic active learning. | Maria-Florina Balcan, Alina Beygelzimer, John Langford |
| 2006 | ICML | Cover trees for nearest neighbor. | Alina Beygelzimer, Sham M. Kakade, John Langford |
| 2005 | AAAI | Weighted One-Against-All. | Alina Beygelzimer, John Langford, Bianca Zadrozny |
| 2005 | COLT | Sensitive Error Correcting Output Codes. | John Langford, Alina Beygelzimer |
| 2005 | ICML | Error limiting reductions between classification tasks. | Alina Beygelzimer, Varsha Dani, Thomas P. Hayes, John Langford, Bianca Zadrozny |
| 2005 | IM | Test-based diagnosis: tree and matrix representations. | Alina Beygelzimer, Mark Brodie, Sheng Ma, Irina Rish |
| 2005 | UAI | Efficient Test Selection in Active Diagnosis via Entropy Approximation. | Alice X. Zheng, Irina Rish, Alina Beygelzimer |
| 2005 | SDM | Statictical Models for Unequally Spaced Time Series. | Alina Beygelzimer, Emre Erdogan, Sheng Ma, Irina Rish |
| 2004 | MFCS | The Enumerability of P Collapses P to NC. | Alina Beygelzimer, Mitsunori Ogihara |
| 2002 | KR | Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks. | Alina Beygelzimer, Irina Rish |
| 2001 | KDD | Fast ordering of large categorical datasets for better visualization. | Alina Beygelzimer, Chang-Shing Perng, Sheng Ma |