Publications

(2019). Thompson Sampling for a Fatigue-aware Online Recommendation System. Proceedings of the 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making.

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(2019). Managing Adoption under Network Effects. Proceedings of the 14th Workshop on the Economics of Networks, Systems and Computation: NetEcon.

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(2019). Learning Buyer Behavior with Limited Price Controls. Working paper. Preliminary version at INFORMS Revenue Management and Pricing Conference 2018.

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(2019). Bandits with Temporal Stochastic Constraints. Proceedings of the 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making.

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(2018). Learning Buyer Behavior under Realistic Pricing Restrictions. Proceedings of the International Symposium on Artificial Intelligence and Mathematics.

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(2017). Symmetry Detection and Exploitation for Function Approximation in Deep Reinforcement Learning. The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making.

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(2017). Pure Exploration in Episodic Fixed-Horizon Markov Decision Processes. International Conference on Autonomous Agents and Multiagent Systems.

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(2017). Provable Inductive Robust PCA via Iterative Hard Thresholding. 33rd Conference on Uncertainty in Artificial Intelligence.

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(2017). Optimizing Revenue over Data-driven Assortments. NIPS Workshop on Nearest Neighbor Methods.

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(2017). Learning to Partition Using Pairwise Compatibilities. International Conference on Autonomous Agents and Multiagent Systems.

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(2017). Faster Reinforcement Learning Using Active Simulators. NIPS Workshop: Teaching Machines, Robots, and Humans.

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(2017). Efficient Reinforcement Learning via Initial Pure Exploration. The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making.

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(2017). Block-Structure Based Time-Series Models For Graph Sequences. NIPS Workshop on Advances in Modeling and Learning Interactions from Complex Data.

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(2016). Privacy-preserving Targeted Advertising. INFORMS Workshop on Data Mining and Decision Analytics.

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(2016). Optimal Automated Booking of On-demand Transportation in Multi-modal Journeys. Twenty-third World Congress on Intelligent Transportation Systems.

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(2015). Learning Personalized Optimal Control for Repeatedly Operated Systems. NIPS workshop on Machine Learning From and For Adaptive User Technologies: From Active Learning and Experimentation to Optimization and Personalization.

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(2014). Robust Optimization using Machine Learning for Uncertainty Sets. Proceedings of the International Symposium on Artificial Intelligence and Mathematics.

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(2014). Generalization Bounds for Learning with Linear and Quadratic Side Knowledge. Proceedings of the International Symposium on Artificial Intelligence and Mathematics.

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(2013). Machine Learning with Operational Costs. Journal of Machine Learning Research.

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(2012). The Influence of Operational Cost on Estimation. Proceedings of the International Symposium on Artificial Intelligence and Mathematics.

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(2011). The Machine Learning and Traveling Repairman Problem. Proceedings of the Second International Conference on Algorithmic Decision Theory.

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(2009). A 20MS/s 5.6 mW 6b Asynchronous ADC in 0.6$μ$m CMOS. Proceedings of the 22nd International Conference on VLSI Design.

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(2008). Design of a Two Dimensional PRSI Image Processor. Proceedings of the 11th EUROMICRO Conference on Digital System Design: Architectures, Methods and Tools.

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