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Alistair Stewart
Alistair Stewart
Web3 foundation
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Titel
Zitiert von
Zitiert von
Jahr
Robust estimators in high-dimensions without the computational intractability
I Diakonikolas, G Kamath, D Kane, J Li, A Moitra, A Stewart
SIAM Journal on Computing 48 (2), 742-864, 2019
4812019
Sever: A robust meta-algorithm for stochastic optimization
I Diakonikolas, G Kamath, D Kane, J Li, J Steinhardt, A Stewart
International Conference on Machine Learning, 1596-1606, 2019
2932019
Being robust (in high dimensions) can be practical
I Diakonikolas, G Kamath, DM Kane, J Li, A Moitra, A Stewart
International Conference on Machine Learning, 999-1008, 2017
2482017
Statistical query lower bounds for robust estimation of high-dimensional gaussians and gaussian mixtures
I Diakonikolas, DM Kane, A Stewart
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS), 73-84, 2017
2322017
Efficient algorithms and lower bounds for robust linear regression
I Diakonikolas, W Kong, A Stewart
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
1542019
List-decodable robust mean estimation and learning mixtures of spherical gaussians
I Diakonikolas, DM Kane, A Stewart
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018
1512018
Robustly learning a gaussian: Getting optimal error, efficiently
I Diakonikolas, G Kamath, DM Kane, J Li, A Moitra, A Stewart
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018
1342018
Testing bayesian networks
CL Canonne, I Diakonikolas, DM Kane, A Stewart
Conference on Learning Theory, 370-448, 2017
782017
Overview of polkadot and its design considerations
J Burdges, A Cevallos, P Czaban, R Habermeier, S Hosseini, F Lama, ...
arXiv preprint arXiv:2005.13456, 2020
762020
Learning geometric concepts with nasty noise
I Diakonikolas, DM Kane, A Stewart
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018
692018
Robust learning of fixed-structure Bayesian networks
Y Cheng, I Diakonikolas, D Kane, A Stewart
Advances in Neural Information Processing Systems 31, 2018
55*2018
Testing conditional independence of discrete distributions
CL Canonne, I Diakonikolas, DM Kane, A Stewart
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018
512018
Grandpa: a byzantine finality gadget
A Stewart, E Kokoris-Kogia
arXiv preprint arXiv:2007.01560, 2020
432020
The fourier transform of poisson multinomial distributions and its algorithmic applications
I Diakonikolas, DM Kane, A Stewart
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016
422016
A verifiably secure and proportional committee election rule
A Cevallos, A Stewart
Proceedings of the 3rd ACM Conference on Advances in Financial Technologies …, 2021
392021
Outlier-robust high-dimensional sparse estimation via iterative filtering
I Diakonikolas, D Kane, S Karmalkar, E Price, A Stewart
Advances in Neural Information Processing Systems 32, 2019
362019
Optimal learning via the fourier transform for sums of independent integer random variables
I Diakonikolas, DM Kane, A Stewart
Conference on Learning Theory, 831-849, 2016
362016
Efficient robust proper learning of log-concave distributions
I Diakonikolas, DM Kane, A Stewart
arXiv preprint arXiv:1606.03077, 2016
322016
Learning multivariate log-concave distributions
I Diakonikolas, DM Kane, A Stewart
Conference on Learning Theory, 711-727, 2017
282017
Properly learning poisson binomial distributions in almost polynomial time
I Diakonikolas, DM Kane, A Stewart
Conference on Learning Theory, 850-878, 2016
282016
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