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ORCIDAlistair Stewart
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- affiliation: University of Southern California, Department of Computer Science
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2020 – today
- 2024
[c34]Emanuele Giunta
, Alistair Stewart:
Unbiasable Verifiable Random Functions. EUROCRYPT (4) 2024: 142-167- [i47]Emanuele Giunta, Alistair Stewart:
Unbiasable Verifiable Random Functions. IACR Cryptol. ePrint Arch. 2024: 435 (2024) - [i46]Jeff Burdges, Alfonso Cevallos, Handan Kilinç Alper, Chen-Da Liu-Zhang, Fatemeh Shirazi, Alistair Stewart, Rob Habermeier, Robert Klotzner, Andronik Ordian:
Efficient Execution Auditing for Blockchains under Byzantine Assumptions. IACR Cryptol. ePrint Arch. 2024: 961 (2024) - 2023
- [i45]Jeffrey Burdges, Handan Kilinç Alper, Alistair Stewart, Sergey Vasilyev:
Ethical identity, ring VRFs, and zero-knowledge continuations. IACR Cryptol. ePrint Arch. 2023: 2 (2023) - [i44]Jeffrey Burdges, Handan Kilinç Alper, Alistair Stewart, Sergey Vasilyev:
Sassafras and Semi-Anonymous Single Leader Election. IACR Cryptol. ePrint Arch. 2023: 31 (2023) - 2022
- [c33]Ilias Diakonikolas, Chrystalla Pavlou, John Peebles, Alistair Stewart:
Efficient Approximation Algorithms for the Inverse Semivalue Problem. AAMAS 2022: 354-362 - [i43]Aleixo Sanchez, Alistair Stewart, Fatemeh Shirazi:
Bridging Sapling: Private Cross-Chain Transfers. CoRR abs/2204.10611 (2022) - [i42]Oana Ciobotaru, Fatemeh Shirazi, Alistair Stewart, Sergey Vasilyev:
Accountable Light Client Systems for PoS Blockchains. IACR Cryptol. ePrint Arch. 2022: 1205 (2022) - [i41]Jeff Burdges, Oana Ciobotaru, Syed Lavasani, Alistair Stewart:
Efficient Aggregatable BLS Signatures with Chaum-Pedersen Proofs. IACR Cryptol. ePrint Arch. 2022: 1611 (2022) - 2021
- [j8]Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart:
Robustness meets algorithms. Commun. ACM 64(5): 107-115 (2021) - [c32]Alfonso Cevallos, Alistair Stewart:
A verifiably secure and proportional committee election rule. AFT 2021: 29-42 - [c31]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart, Yuxin Sun:
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition. COLT 2021: 1645-1682 - [c30]Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas, Alistair Stewart:
Statistical Query Lower Bounds for List-Decodable Linear Regression. NeurIPS 2021: 3191-3204 - [i40]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart, Yuxin Sun:
Outlier-Robust Learning of Ising Models Under Dobrushin's Condition. CoRR abs/2102.02171 (2021) - [i39]Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia, Thanasis Pittas, Alistair Stewart:
Statistical Query Lower Bounds for List-Decodable Linear Regression. CoRR abs/2106.09689 (2021) - 2020
- [j7]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
Polynomial Time Algorithms for Branching Markov Decision Processes and Probabilistic Min(Max) Polynomial Bellman Equations. Math. Oper. Res. 45(1): 34-62 (2020) - [j6]Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Testing Bayesian Networks. IEEE Trans. Inf. Theory 66(5): 3132-3170 (2020) - [i38]Alfonso Cevallos, Alistair Stewart:
Validator election in nominated proof-of-stake. CoRR abs/2004.12990 (2020) - [i37]Jeff Burdges, Alfonso Cevallos, Peter Czaban, Rob Habermeier, Syed Hosseini, Fabio Lama, Handan Kilinç Alper, Ximin Luo, Fatemeh Shirazi, Alistair Stewart, Gavin Wood:
Overview of Polkadot and its Design Considerations. CoRR abs/2005.13456 (2020) - [i36]Alistair Stewart, Eleftherios Kokoris-Kogia:
GRANDPA: a Byzantine Finality Gadget. CoRR abs/2007.01560 (2020) - [i35]Jeff Burdges, Alfonso Cevallos, Peter Czaban, Rob Habermeier, Syed Hosseini, Fabio Lama, Handan Kilinç Alper, Ximin Luo, Fatemeh Shirazi, Alistair Stewart, Gavin Wood:
Overview of Polkadot and its Design Considerations. IACR Cryptol. ePrint Arch. 2020: 641 (2020)
2010 – 2019
- 2019
- [j5]Ilias Diakonikolas, Gautam Kamath, Daniel Kane, Jerry Li, Ankur Moitra, Alistair Stewart:
Robust Estimators in High-Dimensions Without the Computational Intractability. SIAM J. Comput. 48(2): 742-864 (2019) - [c29]Alistair Stewart:
Poster: GRANDPA Finality Gadget. CCS 2019: 2649-2651 - [c28]Kousha Etessami, Emanuel Martinov, Alistair Stewart, Mihalis Yannakakis:
Reachability for Branching Concurrent Stochastic Games. ICALP 2019: 115:1-115:14 - [c27]Ilias Diakonikolas, Gautam Kamath, Daniel Kane, Jerry Li, Jacob Steinhardt, Alistair Stewart:
Sever: A Robust Meta-Algorithm for Stochastic Optimization. ICML 2019: 1596-1606 - [c26]Brian Axelrod, Ilias Diakonikolas, Alistair Stewart, Anastasios Sidiropoulos, Gregory Valiant:
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families. NeurIPS 2019: 7721-7733 - [c25]Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Eric Price, Alistair Stewart:
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering. NeurIPS 2019: 10688-10699 - [c24]Ilias Diakonikolas, Weihao Kong, Alistair Stewart:
Efficient Algorithms and Lower Bounds for Robust Linear Regression. SODA 2019: 2745-2754 - [i34]Brian Axelrod, Ilias Diakonikolas, Anastasios Sidiropoulos, Alistair Stewart, Gregory Valiant:
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families. CoRR abs/1907.08306 (2019) - [i33]Ilias Diakonikolas, Sushrut Karmalkar, Daniel Kane, Eric Price, Alistair Stewart:
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering. CoRR abs/1911.08085 (2019) - 2018
- [j4]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
Greatest fixed points of probabilistic min/max polynomial equations, and reachability for branching Markov decision processes. Inf. Comput. 261: 355-382 (2018) - [c23]Timothy Carpenter, Ilias Diakonikolas, Anastasios Sidiropoulos, Alistair Stewart:
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities. COLT 2018: 1234-1262 - [c22]Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Testing Conditional Independence of Discrete Distributions. ITA 2018: 1-57 - [c21]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Sharp Bounds for Generalized Uniformity Testing. NeurIPS 2018: 6204-6213 - [c20]Alistair Stewart, Ilias Diakonikolas, Clément L. Canonne:
Testing for Families of Distributions via the Fourier Transform. NeurIPS 2018: 10084-10095 - [c19]Yu Cheng, Ilias Diakonikolas, Daniel Kane, Alistair Stewart:
Robust Learning of Fixed-Structure Bayesian Networks. NeurIPS 2018: 10304-10316 - [c18]Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart:
Robustly Learning a Gaussian: Getting Optimal Error, Efficiently. SODA 2018: 2683-2702 - [c17]Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Testing conditional independence of discrete distributions. STOC 2018: 735-748 - [c16]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
List-decodable robust mean estimation and learning mixtures of spherical gaussians. STOC 2018: 1047-1060 - [c15]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Learning geometric concepts with nasty noise. STOC 2018: 1061-1073 - [i32]Timothy Carpenter, Ilias Diakonikolas, Anastasios Sidiropoulos, Alistair Stewart:
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities. CoRR abs/1802.10575 (2018) - [i31]Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Jacob Steinhardt, Alistair Stewart:
Sever: A Robust Meta-Algorithm for Stochastic Optimization. CoRR abs/1803.02815 (2018) - [i30]Ilias Diakonikolas, Weihao Kong, Alistair Stewart:
Efficient Algorithms and Lower Bounds for Robust Linear Regression. CoRR abs/1806.00040 (2018) - [i29]Kousha Etessami, Emanuel Martinov, Alistair Stewart, Mihalis Yannakakis:
Reachability for Branching Concurrent Stochastic Games. CoRR abs/1806.03907 (2018) - [i28]Ilias Diakonikolas, Anastasios Sidiropoulos, Alistair Stewart:
A Polynomial Time Algorithm for Maximum Likelihood Estimation of Multivariate Log-concave Densities. CoRR abs/1812.05524 (2018) - 2017
- [j3]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
A Polynomial Time Algorithm for Computing Extinction Probabilities of Multitype Branching Processes. SIAM J. Comput. 46(5): 1515-1553 (2017) - [c14]Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Testing Bayesian Networks. COLT 2017: 370-448 - [c13]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Learning Multivariate Log-concave Distributions. COLT 2017: 711-727 - [c12]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Statistical Query Lower Bounds for Robust Estimation of High-Dimensional Gaussians and Gaussian Mixtures. FOCS 2017: 73-84 - [c11]Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart:
Being Robust (in High Dimensions) Can Be Practical. ICML 2017: 999-1008 - [c10]Yu Cheng, Ilias Diakonikolas, Alistair Stewart:
Playing Anonymous Games using Simple Strategies. SODA 2017: 616-631 - [i27]Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart:
Being Robust (in High Dimensions) Can Be Practical. CoRR abs/1703.00893 (2017) - [i26]Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart:
Robustly Learning a Gaussian: Getting Optimal Error, Efficiently. CoRR abs/1704.03866 (2017) - [i25]Clément L. Canonne, Ilias Diakonikolas, Alistair Stewart:
Fourier-Based Testing for Families of Distributions. CoRR abs/1706.05738 (2017) - [i24]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Learning Geometric Concepts with Nasty Noise. CoRR abs/1707.01242 (2017) - [i23]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Sharp Bounds for Generalized Uniformity Testing. CoRR abs/1709.02087 (2017) - [i22]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians. CoRR abs/1711.07211 (2017) - [i21]Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Testing Conditional Independence of Discrete Distributions. CoRR abs/1711.11560 (2017) - [i20]Clément L. Canonne, Ilias Diakonikolas, Alistair Stewart:
Fourier-Based Testing for Families of Distributions. Electron. Colloquium Comput. Complex. TR17 (2017) - [i19]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Sharp Bounds for Generalized Uniformity Testing. Electron. Colloquium Comput. Complex. TR17 (2017) - 2016
- [c9]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables. COLT 2016: 831-849 - [c8]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Properly Learning Poisson Binomial Distributions in Almost Polynomial Time. COLT 2016: 850-878 - [c7]Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart:
Robust Estimators in High Dimensions without the Computational Intractability. FOCS 2016: 655-664 - [c6]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
The fourier transform of poisson multinomial distributions and its algorithmic applications. STOC 2016: 1060-1073 - [i18]Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Zheng Li, Ankur Moitra, Alistair Stewart:
Robust Estimators in High Dimensions without the Computational Intractability. CoRR abs/1604.06443 (2016) - [i17]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Learning Multivariate Log-concave Distributions. CoRR abs/1605.08188 (2016) - [i16]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Efficient Robust Proper Learning of Log-concave Distributions. CoRR abs/1606.03077 (2016) - [i15]Yu Cheng, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Robust Learning of Fixed-Structure Bayesian Networks. CoRR abs/1606.07384 (2016) - [i14]Yu Cheng, Ilias Diakonikolas, Alistair Stewart:
Playing Anonymous Games using Simple Strategies. CoRR abs/1608.07336 (2016) - [i13]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures. CoRR abs/1611.03473 (2016) - [i12]Clément L. Canonne, Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Testing Bayesian Networks. CoRR abs/1612.03156 (2016) - [i11]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Statistical Query Lower Bounds for Robust Estimation of High-dimensional Gaussians and Gaussian Mixtures. Electron. Colloquium Comput. Complex. TR16 (2016) - 2015
- [j2]Alistair Stewart, Kousha Etessami, Mihalis Yannakakis:
Upper Bounds for Newton's Method on Monotone Polynomial Systems, and P-Time Model Checking of Probabilistic One-Counter Automata. J. ACM 62(4): 30:1-30:33 (2015) - [c5]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
Greatest Fixed Points of Probabilistic Min/Max Polynomial Equations, and Reachability for Branching Markov Decision Processes. ICALP (2) 2015: 184-196 - [i10]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
Greatest Fixed Points of Probabilistic Min/Max Polynomial Equations, and Reachability for Branching Markov Decision Processes. CoRR abs/1502.05533 (2015) - [i9]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Nearly Optimal Learning and Sparse Covers for Sums of Independent Integer Random Variables. CoRR abs/1505.00662 (2015) - [i8]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
The Fourier Transform of Poisson Multinomial Distributions and its Algorithmic Applications. CoRR abs/1511.03592 (2015) - [i7]Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart:
Properly Learning Poisson Binomial Distributions in Almost Polynomial Time. CoRR abs/1511.04066 (2015) - 2014
- [j1]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
A Note on the Complexity of Comparing Succinctly Represented Integers, with an Application to Maximum Probability Parsing. ACM Trans. Comput. Theory 6(2): 9:1-9:23 (2014) - 2013
- [c4]Alistair Stewart, Kousha Etessami, Mihalis Yannakakis:
Upper Bounds for Newton's Method on Monotone Polynomial Systems, and P-Time Model Checking of Probabilistic One-Counter Automata. CAV 2013: 495-510 - [c3]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
Stochastic Context-Free Grammars, Regular Languages, and Newton's Method. ICALP (2) 2013: 199-211 - [i6]Alistair Stewart, Kousha Etessami, Mihalis Yannakakis:
Upper bounds for Newton's method on monotone polynomial systems, and P-time model checking of probabilistic one-counter automata. CoRR abs/1302.3741 (2013) - [i5]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
Stochastic Context-Free Grammars, Regular Languages, and Newton's Method. CoRR abs/1302.6411 (2013) - [i4]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
A note on the complexity of comparing succinctly represented integers, with an application to maximum probability parsing. CoRR abs/1304.5429 (2013) - [i3]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
A note on the complexity of comparing succinctly represented integers, with an application to maximum probability parsing. Electron. Colloquium Comput. Complex. TR13 (2013) - 2012
- [c2]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
Polynomial Time Algorithms for Branching Markov Decision Processes and Probabilistic Min(Max) Polynomial Bellman Equations. ICALP (1) 2012: 314-326 - [c1]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
Polynomial time algorithms for multi-type branching processesand stochastic context-free grammars. STOC 2012: 579-588 - [i2]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
Polynomial Time Algorithms for Multi-Type Branching Processes and Stochastic Context-Free Grammars. CoRR abs/1201.2374 (2012) - [i1]Kousha Etessami, Alistair Stewart, Mihalis Yannakakis:
Polynomial Time Algorithms for Branching Markov Decision Processes and Probabilistic Min(Max) Polynomial Bellman Equations. CoRR abs/1202.4798 (2012)
Coauthor Index
[c33] [j8] [c31] [c30] [i40] [i39] [j6] [j5] [c27] [c26] [c25] [c24] [i34] [i33] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i32] [i31] [i30] [i28] [c14] [c13] [c12] [c11] [c10] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [c9] [c8] [c7] [c6] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [i8] [i7]
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