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Irina Rish
Irina Rish
University of Montreal / Mila -Quebec AI Institute
E-mail confirmado em mila.quebec - Página inicial
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An empirical study of the naive Bayes classifier
I Rish
IJCAI 2001 workshop on empirical methods in artificial intelligence 3 (22 …, 2001
58462001
Learning representations from EEG with deep recurrent-convolutional neural networks
P Bashivan, I Rish, M Yeasin, N Codella
arXiv preprint arXiv:1511.06448, 2015
8962015
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
8402018
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
3882003
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
3112022
Mini-buckets: A general scheme for bounded inference
R Dechter, I Rish
Journal of the ACM (JACM) 50 (2), 107-153, 2003
2992003
Sparse modeling: theory, algorithms, and applications
I Rish, G Grabarnik
CRC press, 2014
2732014
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
2722005
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
2612021
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
Directional resolution: The davis-putnam procedure, revisited
R Dechter, I Rish
Principles of knowledge representation and reasoning, 134-145, 1994
2311994
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
2232009
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
2042020
A survey on practical applications of multi-armed and contextual bandits
D Bouneffouf, I Rish
arXiv preprint arXiv:1904.10040, 2019
1792019
Resolution versus search: Two strategies for SAT
I Rish, R Dechter
Journal of Automated Reasoning 24 (1), 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
1592001
Online fast adaptation and knowledge accumulation (osaka): a new approach to continual learning
M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, ...
Advances in Neural Information Processing Systems 33, 16532-16545, 2020
158*2020
Active sampling collaborative prediction method for end-to-end performance prediction
I Rish, GJ Tesauro
US Patent 7,640,224, 2009
1502009
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
1412004
Using language processing and speech analysis for the identification of psychosis and other disorders
CM Corcoran, GA Cecchi
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5 (8), 770-779, 2020
1402020
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