Adrian Vladu
According to our database1,
Adrian Vladu
authored at least 28 papers
between 2010 and 2023.
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On csauthors.net:
Bibliography
2023
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020
2019
Improved Convergence for $\ell_\infty$ and $\ell_1$ Regression via Iteratively Reweighted Least Squares.
CoRR, 2019
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019
Improved Convergence for $\ell_1$ and $\ell_∞$ Regression via Iteratively Reweighted Least Squares.
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Almost-linear-time algorithms for Markov chains and new spectral primitives for directed graphs.
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017
Negative-Weight Shortest Paths and Unit Capacity Minimum Cost Flow in Õ (<i>m</i><sup>10/7</sup> log <i>W</i>) Time (Extended Abstract).
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017
2016
Negative-Weight Shortest Paths and Unit Capacity Minimum Cost Flow in Õ(m<sup>10/7</sup> log W) Time.
CoRR, 2016
Faster Algorithms for Computing the Stationary Distribution, Simulating Random Walks, and More.
Proceedings of the IEEE 57th Annual Symposium on Foundations of Computer Science, 2016
2015
Proceedings of the 27th ACM on Symposium on Parallelism in Algorithms and Architectures, 2015
Proceedings of the 2015 ACM Symposium on Principles of Distributed Computing, 2015
2010
Proceedings of the Approximation and Online Algorithms - 8th International Workshop, 2010