A family of robust stochastic operators for reinforcement learning
- Yingdong Lu
- Mark S. Squillante
- et al.
- 2019
- NeurIPS 2019
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107 results for Mark S. Squillante
Special issue on the workshop on mathematical performance modeling and analysis (MAMA 2019)
- Mark S. Squillante
- 2019
- MAMA/ACM SIGMETRICS/IFIP Performance 2019
Proven: Verifying robustness of neural networks with a probabilistic approach
- Tsui Wei Weng
- Pin-Yu Chen
- et al.
- 2019
- ICML 2019
On min-max optimization over large data sets
- Soumyadip Ghosh
- Mark S. Squillante
- et al.
- 2018
- MAMA/CINS 2018
Revisiting stochastic loss networks: Structures and approximations
- Kyomin Jung
- Yingdong Lu
- et al.
- 2019
- Mathematics of Operations Research
Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic
- Yingdong Lu
- Siva Theja Maguluri
- et al.
- 2018
- ACC 2018
Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits
- Yingdong Lu
- Mark S. Squillante
- et al.
- 2018
- ACC 2018
Epidemic-like stochastic processes with time-varying behavior: Structural properties and asymptotic limits
- Yingdong Lu
- Mark S. Squillante
- et al.
- 2017
- IFIP WG 7.3 Performance 2017
An optimal scheduling policy for the 2 2 input-queued switch with symmetric arrival rates
- Yingdong Lu
- Siva Theja Maguluri
- et al.
- 2017
- IFIP WG 7.3 Performance 2017
Max-weight scheduling across multiple timescales
- Mark S. Squillante
- Peter M. Van De Ven
- 2018
- Operations Research Letters