Irina Rish
Irina Rish
University of Montreal / Mila -Quebec AI Institute
Verified email at - Homepage
Cited by
Cited by
An empirical study of the naive Bayes classifier
I Rish
IJCAI 2001 workshop on empirical methods in artificial intelligence 3 (22 …, 2001
Learning representations from EEG with deep recurrent-convolutional neural networks
P Bashivan, I Rish, M Yeasin, N Codella
arXiv preprint arXiv:1511.06448, 2015
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
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
Mini-buckets: A general scheme for bounded inference
R Dechter, I Rish
Journal of the ACM (JACM) 50 (2), 107-153, 2003
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
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
Sparse modeling: theory, algorithms, and applications
I Rish, G Grabarnik
CRC press, 2014
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
Directional resolution: The davis-putnam procedure, revisited
R Dechter, I Rish
Principles of knowledge representation and reasoning, 134-145, 1994
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
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
A survey on practical applications of multi-armed and contextual bandits
D Bouneffouf, I Rish
arXiv preprint arXiv:1904.10040, 2019
Resolution versus search: Two strategies for SAT
I Rish, R Dechter
Journal of Automated Reasoning 24 (1), 225-275, 2000
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
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
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
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
Active sampling collaborative prediction method for end-to-end performance prediction
I Rish, GJ Tesauro
US Patent 7,640,224, 2009
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
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