2008 |
27 | EE | Irina Rish,
Genady Grabarnik,
Guillermo Cecchi,
Francisco Pereira,
Geoffrey J. Gordon:
Closed-form supervised dimensionality reduction with generalized linear models.
ICML 2008: 832-839 |
2007 |
26 | EE | Alina Beygelzimer,
Jeffrey O. Kephart,
Irina Rish:
Evaluation of Optimization Methods for Network Bottleneck Diagnosis.
ICAC 2007: 20 |
25 | EE | Irina Rish,
Gerald Tesauro:
Estimating End-to-End Performance by Collaborative Prediction with Active Sampling.
Integrated Network Management 2007: 294-303 |
24 | EE | Gaurav Chandalia,
Irina Rish:
Blind source separation approach to performance diagnosis and dependency discovery.
Internet Measurement Comference 2007: 259-264 |
2006 |
23 | EE | Aleks Jakulin,
Irina Rish:
Bayesian Learning of Markov Network Structure.
ECML 2006: 198-209 |
2005 |
22 | EE | Alina Beygelzimer,
Mark Brodie,
Sheng Ma,
Irina Rish:
Test-based diagnosis: tree and matrix representations.
Integrated Network Management 2005: 529-542 |
21 | | Alina Beygelzimer,
Emre Erdogan,
Sheng Ma,
Irina Rish:
Statictical Models for Unequally Spaced Time Series.
SDM 2005 |
20 | EE | Alice X. Zheng,
Irina Rish,
Alina Beygelzimer:
Efficient Test Selection in Active Diagnosis via Entropy Approximation.
UAI 2005: 675- |
2004 |
19 | EE | Alina Beygelzimer,
Geoffrey Grinstein,
Ralph Linsker,
Irina Rish:
Improving Network Robustness.
ICAC 2004: 322-323 |
18 | EE | Irina Rish,
Mark Brodie,
Natalia Odintsova,
Sheng Ma,
Genady Grabarnik:
Real-time problem determination in distributed systems using active probing.
NOMS (1) 2004: 133-146 |
2003 |
17 | EE | Ricardo Vilalta,
Irina Rish:
A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes.
ECML 2003: 444-455 |
16 | | Mark Brodie,
Irina Rish,
Sheng Ma,
Natalia Odintsova:
Active Probing Strategies for Problem Diagnosis in Distributed Systems.
IJCAI 2003: 1337-1338 |
15 | EE | Ramendra K. Sahoo,
Adam J. Oliner,
Irina Rish,
Manish Gupta,
José E. Moreira,
Sheng Ma,
Ricardo Vilalta,
Anand Sivasubramaniam:
Critical event prediction for proactive management in large-scale computer clusters.
KDD 2003: 426-435 |
14 | EE | Alina Beygelzimer,
Irina Rish:
Approximability of Probability Distributions.
NIPS 2003 |
13 | EE | Rina Dechter,
Irina Rish:
Mini-buckets: A general scheme for bounded inference.
J. ACM 50(2): 107-153 (2003) |
2002 |
12 | | Irina Rish,
Mark Brodie,
Sheng Ma:
Accuracy vs. Efficiency Trade-offs in Probabilistic Diagnosis.
AAAI/IAAI 2002: 560-566 |
11 | | Alina Beygelzimer,
Irina Rish:
Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks.
KR 2002: 558-567 |
10 | EE | Mark Brodie,
Irina Rish,
Sheng Ma:
Intelligent probing: A cost-effective approach to fault diagnosis in computer networks.
IBM Systems Journal 41(3): 372-385 (2002) |
2001 |
9 | EE | Ricardo Vilalta,
Mark Brodie,
Daniel Oblinger,
Irina Rish:
A Unified Framework for Evaluation Metrics in Classification Using Decision Trees.
ECML 2001: 503-514 |
2000 |
8 | | Joseph L. Hellerstein,
T. S. Jayram,
Irina Rish:
Recognizing End-User Transactions in Performance Management.
AAAI/IAAI 2000: 596-602 |
7 | | Irina Rish,
Rina Dechter:
Resolution versus Search: Two Strategies for SAT.
J. Autom. Reasoning 24(1/2): 225-275 (2000) |
1998 |
6 | EE | Irina Rish,
Kalev Kask,
Rina Dechter:
Empirical Evaluation of Approximation Algorithms for Probabilistic Decoding.
UAI 1998: 455-463 |
1997 |
5 | | Daniel Frost,
Irina Rish,
Lluís Vila:
Summarizing CSP Hardness with Continuous Probability Distributions.
AAAI/IAAI 1997: 327-333 |
4 | | Irina Rish,
Daniel Frost:
Statistical Analysis of Backtracking on Inconsistent CSPs.
CP 1997: 150-162 |
3 | EE | Rina Dechter,
Irina Rish:
A Scheme for Approximating Probabilistic Inference.
UAI 1997: 132-141 |
1996 |
2 | | Irina Rish,
Rina Dechter:
To Guess or to Think? Hybrid Algorithms for SAT (Extended Abstract).
CP 1996: 555-556 |
1994 |
1 | | Rina Dechter,
Irina Rish:
Directional Resolution: The Davis-Putnam Procedure, Revisited.
KR 1994: 134-145 |