Towards deep learning models resistant to adversarial attacks A Madry, A Makelov, L Schmidt, D Tsipras, A Vladu
Proceedings of the International Conference on Representation Learning (ICLR …, 2017
14321 2017 Matrix scaling and balancing via box constrained Newton's method and interior point methods MB Cohen, A Madry, D Tsipras, A Vladu
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
133 2017 Almost-linear-time algorithms for markov chains and new spectral primitives for directed graphs MB Cohen, J Kelner, J Peebles, R Peng, AB Rao, A Sidford, A Vladu
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
125 2017 Negative-Weight Shortest Paths and Unit Capacity Minimum Cost Flow in Õ(m^{10/7} log W) Time MB Cohen, A Mądry, P Sankowski, A Vladu
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017
121 2017 Improved parallel algorithms for spanners and hopsets GL Miller, R Peng, A Vladu, SC Xu
Proceedings of the 27th Annual ACM Symposium on Parallelism in Algorithms …, 2013
92 2013 Multidimensional binary search for contextual decision-making I Lobel, RP Leme, A Vladu
Operations Research 66 (5), 1346-1361, 2018
77 2018 Faster algorithms for computing the stationary distribution, simulating random walks, and more MB Cohen, J Kelner, J Peebles, R Peng, A Sidford, A Vladu
2016 IEEE 57th annual symposium on foundations of computer science (FOCS …, 2016
73 2016 AC/DC: Alternating compressed/decompressed training of deep neural networks A Peste, E Iofinova, A Vladu, D Alistarh
Advances in Neural Information Processing Systems 34, 2021
72 2021 Phenotypic profiling reveals that Candida albicans opaque cells represent a metabolically specialized cell state compared to default white cells IV Ene, MB Lohse, AV Vladu, J Morschhäuser, AD Johnson, RJ Bennett
MBio 7 (6), 10.1128/mbio. 01269-16, 2016
56 2016 Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs K Axiotis, A Mądry, A Vladu
2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS), 2020
51 2020 Submodular maximization with matroid and packing constraints in parallel A Ene, HL Nguyen, A Vladu
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2018
47 2018 Tight Bounds for Approximate Caratheodory and Beyond V Mirrokni, R Paes Leme, A Vladu, SC Wong
Proceedings of the 34th International Conference on Machine Learning, 2017, 2015
39 2015 Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities A Ene, HL Nguyen, A Vladu
35th AAAI Conference on Artificial Intelligence, 2021, 2020
33 2020 Faster Sparse Minimum Cost Flow by Electrical Flow Localization K Axiotis, A Mądry, A Vladu
2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS), 2021
32 2021 Improved Convergence for A Ene, A Vladu
Proceedings of the 36th International Conference on Machine Learning, 2019 …, 2019
30 2019 Towards Deep Learning Models Resistant to Adversarial Attacks (2019) A Madry, A Makelov, L Schmidt, D Tsipras, A Vladu
arXiv preprint arXiv:1706.06083, 0
15 International Conference on Learning Representations A Madry, A Makelov, L Schmidt, D Tsipras, A Vladu
Vancouver, BC, Canada, 2018
14 2018 Quantized Distributed Training of Large Models with Convergence Guarantees I Markov, A Vladu, Q Guo, D Alistarh
ICML 2023, 2023
12 2023 Decomposable Submodular Function Minimization via Maximum Flow K Axiotis, A Karczmarz, A Mukherjee, P Sankowski, A Vladu
Proceedings of the 38th International Conference on Machine Learning, 2021, 2021
12 2021 Towards deep learning models resistant to adversarial attacks. arXiv 2017 A Mądry, A Makelov, L Schmidt, D Tsipras, A Vladu
arXiv preprint arXiv:1706.06083, 0
11 