Joshua R. Wang
According to our database1, Joshua R. Wang authored at least 13 papers between 2014 and 2019.
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Recursive Sketches for Modular Deep Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019
Shuffles and Circuits (On Lower Bounds for Modern Parallel Computation).
J. ACM, 2018
Cell-probe lower bounds from online communication complexity.
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
An Optimal Learning Algorithm for Online Unconstrained Submodular Maximization.
Proceedings of the Conference On Learning Theory, 2018
Exact Algorithms and Strong Exponential Time Hypothesis.
Encyclopedia of Algorithms, 2016
Shuffles and Circuits: (On Lower Bounds for Modern Parallel Computation).
Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures, 2016
Approximation and Fixed Parameter Subquadratic Algorithms for Radius and Diameter in Sparse Graphs.
Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016
Minimizing Regret with Multiple Reserves.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016
Deterministic Time-Space Trade-Offs for k-SUM.
Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming, 2016
The Complexity of the k-means Method.
Proceedings of the 24th Annual European Symposium on Algorithms, 2016
Finding Four-Node Subgraphs in Triangle Time.
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015
Space-Efficient Randomized Algorithms for K-SUM.
Proceedings of the Algorithms - ESA 2014, 2014