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Irina Rish
Irina Rish
University of Montreal / Mila -Quebec AI Institute
Подтвержден адрес электронной почты в домене mila.quebec - Главная страница
Название
Процитировано
Процитировано
Год
An empirical study of the naive Bayes classifier
I Rish
IJCAI 2001 workshop on empirical methods in artificial intelligence 3 (22 …, 2001
50912001
Learning representations from EEG with deep recurrent-convolutional neural networks
P Bashivan, I Rish, M Yeasin, N Codella
arXiv preprint arXiv:1511.06448, 2015
7792015
Learning to learn without forgetting by maximizing transfer and minimizing interference
M Riemer, I Cases, R Ajemian, M Liu, I Rish, Y Tu, G Tesauro
arXiv preprint arXiv:1810.11910, 2018
6232018
Critical event prediction for proactive management in large-scale computer clusters
RK Sahoo, AJ Oliner, I Rish, M Gupta, JE Moreira, S Ma, R Vilalta, ...
Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003
3822003
Mini-buckets: A general scheme for bounded inference
R Dechter, I Rish
Journal of the ACM (JACM) 50 (2), 107-153, 2003
2902003
Improving network robustness by edge modification
A Beygelzimer, G Grinstein, R Linsker, I Rish
Physica A: Statistical Mechanics and its Applications 357 (3-4), 593-612, 2005
2442005
Adaptive diagnosis in distributed systems
I Rish, M Brodie, S Ma, N Odintsova, A Beygelzimer, G Grabarnik, ...
IEEE Transactions on neural networks 16 (5), 1088-1109, 2005
2442005
Sparse modeling: theory, algorithms, and applications
I Rish, G Grabarnik
CRC press, 2014
2412014
Directional resolution: The davis-putnam procedure, revisited
R Dechter, I Rish
Principles of knowledge representation and reasoning, 134-145, 1994
2331994
Prediction and interpretation of distributed neural activity with sparse models
MK Carroll, GA Cecchi, I Rish, R Garg, AR Rao
NeuroImage 44 (1), 112-122, 2009
2152009
Towards continual reinforcement learning: A review and perspectives
K Khetarpal, M Riemer, I Rish, D Precup
Journal of Artificial Intelligence Research 75, 1401-1476, 2022
1702022
Resolution versus search: Two strategies for SAT
I Rish, R Dechter
Journal of Automated Reasoning 24 (1-2), 225-275, 2000
1672000
An analysis of data characteristics that affect naive Bayes performance
I Rish, J Hellerstein, J Thathachar
IBM TJ Watson Research Center 30, 1-8, 2001
1502001
Invariance principle meets information bottleneck for out-of-distribution generalization
K Ahuja, E Caballero, D Zhang, JC Gagnon-Audet, Y Bengio, I Mitliagkas, ...
Advances in Neural Information Processing Systems 34, 3438-3450, 2021
1472021
A survey on practical applications of multi-armed and contextual bandits
D Bouneffouf, I Rish
arXiv preprint arXiv:1904.10040, 2019
1472019
Real-time problem determination in distributed systems using active probing
I Rish, M Brodie, N Odintsova, S Ma, G Grabarnik
2004 IEEE/IFIP Network Operations and Management Symposium (IEEE Cat. No …, 2004
1372004
Online fast adaptation and knowledge accumulation: a new approach to continual learning
M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, L Caccia, ...
arXiv preprint arXiv:2003.05856, 2020
126*2020
Survey on applications of multi-armed and contextual bandits
D Bouneffouf, I Rish, C Aggarwal
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
1222020
Optimizing probe selection for fault localization
M Brodie, I Rish, S Ma
1062001
Intelligent probing: A cost-effective approach to fault diagnosis in computer networks
M Brodie, I Rish, S Ma
IBM systems journal 41 (3), 372-385, 2002
1012002
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Статьи 1–20