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Conference and Workshop Papers
- 2016
[c8]Oren Anava, Shie Mannor:
Heteroscedastic Sequences: Beyond Gaussianity. ICML 2016: 755-763- [c7]Zohar S. Karnin, Oren Anava:
Multi-armed Bandits: Competing with Optimal Sequences. NIPS 2016: 199-207 - [c6]Oren Anava, Kfir Y. Levy:
k*-Nearest Neighbors: From Global to Local. NIPS 2016: 4916-4924 - 2015
- [c5]Oren Anava, Elad Hazan, Assaf Zeevi:
Online Time Series Prediction with Missing Data. ICML 2015: 2191-2199 - [c4]Oren Anava, Elad Hazan, Shie Mannor:
Online Learning for Adversaries with Memory: Price of Past Mistakes. NIPS 2015: 784-792 - [c3]Michal Aharon, Oren Anava, Noa Avigdor-Elgrabli, Dana Drachsler-Cohen, Shahar Golan, Oren Somekh:
ExcUseMe: Asking Users to Help in Item Cold-Start Recommendations. RecSys 2015: 83-90 - [c2]Oren Anava, Shahar Golan, Nadav Golbandi, Zohar Shay Karnin, Ronny Lempel, Oleg Rokhlenko, Oren Somekh:
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design. WWW 2015: 45-54 - 2013
- [c1]Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir:
Online Learning for Time Series Prediction. COLT 2013: 172-184
Editorship
- 2017
- [e1]Oren Anava, Azadeh Khaleghi, Marco Cuturi, Vitaly Kuznetsov, Alexander Rakhlin:
Proceedings of the NIPS 2016 Time Series Workshop, co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, December 9, 2016. JMLR Workshop and Conference Proceedings 55, JMLR.org 2017 [contents]
Informal and Other Publications
- 2017
- [i4]Oren Anava, Kfir Y. Levy:
k*-Nearest Neighbors: From Global to Local. CoRR abs/1701.07266 (2017) - 2014
- [i3]Oren Anava, Shahar Golan, Nadav Golbandi, Zohar Shay Karnin, Ronny Lempel, Oleg Rokhlenko, Oren Somekh:
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design. CoRR abs/1406.2431 (2014) - 2013
- [i2]Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir:
Online Learning for Time Series Prediction. CoRR abs/1302.6927 (2013) - [i1]Oren Anava, Elad Hazan, Shie Mannor:
Online Learning for Loss Functions with Memory and Applications to Statistical Arbitrage. CoRR abs/1302.6937 (2013)
Coauthor Index
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