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Yasha Pushak
Yasha Pushak
Principal Member of Technical Staff, Oracle Labs
Verified email at cs.ubc.ca
Title
Cited by
Cited by
Year
A bi-objective optimization framework for three-dimensional road alignment design
D Hirpa, W Hare, Y Lucet, Y Pushak, S Tesfamariam
Transportation Research Part C: Emerging Technologies 65, 61-78, 2016
692016
Multiple-path selection for new highway alignments using discrete algorithms
Y Pushak, W Hare, Y Lucet
European Journal of Operational Research 248 (2), 415-427, 2016
682016
Algorithm configuration landscapes: More benign than expected?
Y Pushak, H Hoos
International Conference on Parallel Problem Solving from Nature, 271-283, 2018
542018
Golden parameter search: exploiting structure to quickly configure parameters in parallel
Y Pushak, HH Hoos
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 245-253, 2020
212020
AutoML Loss Landscapes
Y Pushak, HH Hoos
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2022
172022
Local Permutation Importance: A Stable, Linear-TIme Local Machine Learning Feature Attributor
Y Pushak, Z Zohrevand, T Hetherington, KR Nia, S Jinturkar, N Agarwal
US Patent App. 17/319,729, 2022
42022
Advanced statistical analysis of empirical performance scaling
Y Pushak, HH Hoos
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 236-244, 2020
42020
Post-hoc explanation of machine learning models using generative adversarial networks
KR Nia, T Hetherington, Z Zohrevand, Y Pushak, S Jinturkar, N Agarwal
US Patent App. 17/131,387, 2022
32022
Generalized expectation maximization
F Schmidt, Y Pushak, S Wray
US Patent App. 16/935,313, 2022
32022
N-1 Experts: Unsupervised Anomaly Detection Model Selection
C Le Clei, Y Pushak, F Zogaj, MO Kareshk, Z Zohrevand, R Harlow, ...
First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022
32022
Fast, approximate conditional distribution sampling
Y Pushak, T Hetherington, KR Nia, Z Zohrevand, S Jinturkar, N Agarwal
US Patent 11,687,540, 2023
22023
Dataset-free, approximate marginal perturbation-based feature attributions
Z Zohrevand, Y Pushak, T Hetherington, KR Nia, S Jinturkar, N Agarwal
US Patent App. 17/232,671, 2022
22022
Empirical scaling analyzer: An automated system for empirical analysis of performance scaling
Y Pushak, Z Mu, HH Hoos
AI Communications 33 (2), 93-111, 2020
22020
Algorithm configuration landscapes: analysis and exploitation
Y Pushak
University of British Columbia, 2022
12022
Road design optimization with a surrogate function
Y Pushak
12015
Fast and accurate anomaly detection explanations with forward-backward feature importance
A Seyfi, Y Pushak, HF Moghadam, S Hong, H Chafi
US Patent 11,966,275, 2024
2024
Expert-optimal correlation: contamination factor identification for unsupervised anomaly detection
Y Pushak, C Le Clei, F Zogaj, HF Moghadam, S Hong, H Chafi
US Patent App. 18/075,824, 2024
2024
Unify95: meta-learning contamination thresholds from unified anomaly scores
Y Pushak, HF Moghadam, A Yakovlev, IIRD Hopkins
US Patent App. 17/994,530, 2024
2024
Learning hyper-parameter scaling models for unsupervised anomaly detection
F Zogaj, Y Pushak, HF Moghadam, S Hong, H Chafi
US Patent App. 18/075,784, 2024
2024
CHROMOSOME REPRESENTATION LEARNING IN EVOLUTIONARY OPTIMIZATION TO EXPLOIT THE STRUCTURE OF ALGORITHM CONFIGURATION
Y Pushak, M Owhadi Kareshk, H Fathi Moghadam, S Hong, H Chafi
US Patent App. 17/900,779, 2024
2024
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