Alina Beygelzimer

73 papers A* 20A 5B 4Journal 34Unranked 10

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment. CoRR Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan
2022	J	`jnl`	How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions? CoRR Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, Zhenyu Xue, Hal Daumé III, Emma Pierson, Nihar B. Shah
2021	A*	`ed.`	Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. NeurIPS Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan
2021	J	`jnl`	Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program). J. Mach. Learn. Res. Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
2020	J	`jnl`	Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program). CoRR Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
2019	A*	`ed.`	Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada. NeurIPS Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Roman Garnett
2019	A*	`conf`	Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. ICML Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
2019	J	`jnl`	Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case. CoRR Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang
2019	A*	`ed.`	Conference on Learning Theory, COLT 2019, 25-28 June 2019, Phoenix, AZ, USA COLT Alina Beygelzimer, Daniel Hsu
2019	A*	`conf`	Contextual Memory Trees. ICML Wen Sun, Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro
2018	A*	`conf`	A Reductions Approach to Fair Classification. ICML Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík, John Langford, Hanna M. Wallach
2018	J	`jnl`	A Reductions Approach to Fair Classification. CoRR Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík, John Langford, Hanna M. Wallach
2018	J	`jnl`	Contextual Memory Trees. CoRR Wen Sun, Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro
2017	J	`jnl`	Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret. CoRR Alina Beygelzimer, Francesco Orabona, Chicheng Zhang
2017	A*	`conf`	Efficient Online Bandit Multiclass Learning with Õ(√T) Regret. ICML Alina Beygelzimer, Francesco Orabona, Chicheng Zhang
2016	J	`jnl`	Learning Reductions That Really Work. Proc. IEEE Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro
2016	A*	`conf`	Optimal and Adaptive Algorithms for Online Boosting. IJCAI Alina Beygelzimer, Satyen Kale, Haipeng Luo
2016	—	`conf`	Search Improves Label for Active Learning. NIPS Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang
2016	J	`jnl`	Search Improves Label for Active Learning. CoRR Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang
2015	J	`jnl`	Learning Reductions that Really Work. CoRR Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro
2015	—	`conf`	Online Gradient Boosting. NIPS Alina Beygelzimer, Elad Hazan, Satyen Kale, Haipeng Luo
2015	J	`jnl`	Online Gradient Boosting. CoRR Alina Beygelzimer, Elad Hazan, Satyen Kale, Haipeng Luo
2015	A*	`conf`	Optimal and Adaptive Algorithms for Online Boosting. ICML Alina Beygelzimer, Satyen Kale, Haipeng Luo
2015	J	`jnl`	Optimal and Adaptive Algorithms for Online Boosting. CoRR Alina Beygelzimer, Satyen Kale, Haipeng Luo
2014	J	`jnl`	Conditional Probability Tree Estimation Analysis and Algorithms. CoRR Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl
2014	—	`conf`	Scalable Non-linear Learning with Adaptive Polynomial Expansions. NIPS Alekh Agarwal, Alina Beygelzimer, Daniel J. Hsu, John Langford, Matus Telgarsky
2014	J	`jnl`	Scalable Nonlinear Learning with Adaptive Polynomial Expansions. CoRR Alekh Agarwal, Alina Beygelzimer, Daniel J. Hsu, John Langford, Matus Telgarsky
2013	—	`conf`	Big Data Exploration Via Automated Orchestration of Analytic Workflows. ICAC Alina Beygelzimer, Anton Riabov, Daby M. Sow, Deepak S. Turaga, Octavian Udrea
2012	J	`jnl`	Efficient Test Selection in Active Diagnosis via Entropy Approximation CoRR Alice X. Zheng, Irina Rish, Alina Beygelzimer
2012	J	`jnl`	Learning Performance of Prediction Markets with Kelly Bettors CoRR Alina Beygelzimer, John Langford, David M. Pennock
2012	A	`conf`	Learning performance of prediction markets with Kelly bettors. AAMAS Alina Beygelzimer, John Langford, David M. Pennock
2011	A	`conf`	Contextual Bandit Algorithms with Supervised Learning Guarantees. AISTATS Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin, Robert E. Schapire
2010	J	`jnl`	Agnostic Active Learning Without Constraints CoRR Alina Beygelzimer, Daniel J. Hsu, John Langford, Tong Zhang
2010	—	`conf`	Agnostic Active Learning Without Constraints. NIPS Alina Beygelzimer, Daniel J. Hsu, John Langford, Tong Zhang
2010	J	`jnl`	An Optimal High Probability Algorithm for the Contextual Bandit Problem CoRR Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin, Robert E. Schapire
2009	J	`jnl`	Agnostic active learning. J. Comput. Syst. Sci. Maria-Florina Balcan, Alina Beygelzimer, John Langford
2009	J	`jnl`	Conditional Probability Tree Estimation Analysis and Algorithms CoRR Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl
2009	A	`conf`	Conditional Probability Tree Estimation Analysis and Algorithms. UAI Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl
2009	J	`jnl`	Error-Correcting Tournaments CoRR Alina Beygelzimer, John Langford, Pradeep Ravikumar
2009	B	`conf`	Error-Correcting Tournaments. ALT Alina Beygelzimer, John Langford, Pradeep Ravikumar
2009	A*	`conf`	Importance weighted active learning. ICML Alina Beygelzimer, Sanjoy Dasgupta, John Langford
2009	A*	`conf`	The offset tree for learning with partial labels. KDD Alina Beygelzimer, John Langford
2009	A*	`conf`	Tutorial summary: Reductions in machine learning. ICML Alina Beygelzimer, John Langford, Bianca Zadrozny
2008	J	`jnl`	Importance Weighted Active Learning CoRR Alina Beygelzimer, Sanjoy Dasgupta, John Langford
2008	J	`jnl`	Robust reductions from ranking to classification. Mach. Learn. Maria-Florina Balcan, Nikhil Bansal, Alina Beygelzimer, Don Coppersmith, John Langford, Gregory B. Sorkin
2008	B	`conf`	Scalable Topology Discovery and Link State Detection Using Routing Events. SRDS Mudhakar Srivatsa, Bong Jun Ko, Alina Beygelzimer, Venkateshwara Madduri
2008	J	`jnl`	The Offset Tree for Learning with Partial Labels CoRR Alina Beygelzimer, John Langford
2008	B	`conf`	The benefits of directional antennas in heterogeneouswireless ad-hoc networks. MASS Alina Beygelzimer, Aaron Kershenbaum, Kang-Won Lee, Vasileios Pappas
2007	—	`conf`	Evaluation of Optimization Methods for Network Bottleneck Diagnosis. ICAC Alina Beygelzimer, Jeffrey O. Kephart, Irina Rish
2007	A*	`conf`	Robust Reductions from Ranking to Classification. COLT Maria-Florina Balcan, Nikhil Bansal, Alina Beygelzimer, Don Coppersmith, John Langford, Gregory B. Sorkin
2006	A*	`conf`	Agnostic active learning. ICML Maria-Florina Balcan, Alina Beygelzimer, John Langford
2006	A*	`conf`	Cover trees for nearest neighbor. ICML Alina Beygelzimer, Sham M. Kakade, John Langford
2005	J	`jnl`	Adaptive diagnosis in distributed systems. IEEE Trans. Neural Networks Irina Rish, Mark Brodie, Sheng Ma, Natalia Odintsova, Alina Beygelzimer, Genady Grabarnik, Karina Hernandez
2005	A	`conf`	Efficient Test Selection in Active Diagnosis via Entropy Approximation. UAI Alice X. Zheng, Irina Rish, Alina Beygelzimer
2005	A*	`conf`	Error limiting reductions between classification tasks. ICML Alina Beygelzimer, Varsha Dani, Thomas P. Hayes, John Langford, Bianca Zadrozny
2005	A*	`conf`	Sensitive Error Correcting Output Codes. COLT John Langford, Alina Beygelzimer
2005	A	`conf`	Statictical Models for Unequally Spaced Time Series. SDM Alina Beygelzimer, Emre Erdogan, Sheng Ma, Irina Rish
2005	—	`conf`	Test-based diagnosis: tree and matrix representations. Integrated Network Management Alina Beygelzimer, Mark Brodie, Sheng Ma, Irina Rish
2005	J	`jnl`	The enumerability of P collapses P to NC. Theor. Comput. Sci. Alina Beygelzimer, Mitsunori Ogihara
2005	A*	`conf`	Weighted One-Against-All. AAAI Alina Beygelzimer, John Langford, Bianca Zadrozny
2004	—	`conf`	Improving Network Robustness. ICAC Alina Beygelzimer, Geoffrey Grinstein, Ralph Linsker, Irina Rish
2004	J	`jnl`	Reductions Between Classification Tasks Electron. Colloquium Comput. Complex. Alina Beygelzimer, Varsha Dani, Thomas P. Hayes, John Langford
2004	B	`conf`	The Enumerability of P Collapses P to NC. MFCS Alina Beygelzimer, Mitsunori Ogihara
2003	—	`conf`	Approximability of Probability Distributions. NIPS Alina Beygelzimer, Irina Rish
2003	J	`jnl`	The (Non)Enumerability of the Determinant and the Rank. Theory Comput. Syst. Alina Beygelzimer, Mitsunori Ogihara
2002	J	`jnl`	Fast ordering of large categorical datasets for visualization. Intell. Data Anal. Alina Beygelzimer, Chang-Shing Perng, Sheng Ma
2002	A*	`conf`	Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks. KR Alina Beygelzimer, Irina Rish
2002	J	`jnl`	On halving line arrangements. Discret. Math. Alina Beygelzimer, Stanislaw P. Radziszowski
2002	J	`jnl`	On the Enumerability of the Determinant and the Rank Electron. Colloquium Comput. Complex. Alina Beygelzimer, Mitsunori Ogihara
2002	—	`conf`	On the Enumerability of the Determinant and the Rank. IFIP TCS Alina Beygelzimer, Mitsunori Ogihara
2001	A*	`conf`	Fast ordering of large categorical datasets for better visualization. KDD Alina Beygelzimer, Chang-Shing Perng, Sheng Ma
1999	J	`jnl`	One-Way Functions in Worst-Case Cryptography: Algebraic and Security Properties CoRR Alina Beygelzimer, Lane A. Hemaspaandra, Christopher M. Homan, Jörg Rothe
1999	J	`jnl`	One-way functions in worst-case cryptography: algebraic and security properties are on the house. SIGACT News Alina Beygelzimer, Lane A. Hemaspaandra, Christopher M. Homan, Jörg Rothe