Yinlam Chow

1.4k total citations
29 papers, 314 citations indexed

About

Yinlam Chow is a scholar working on Artificial Intelligence, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Yinlam Chow has authored 29 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 10 papers in Management Science and Operations Research. Recurrent topics in Yinlam Chow's work include Risk and Portfolio Optimization (7 papers), Smart Grid Energy Management (5 papers) and Reinforcement Learning in Robotics (5 papers). Yinlam Chow is often cited by papers focused on Risk and Portfolio Optimization (7 papers), Smart Grid Energy Management (5 papers) and Reinforcement Learning in Robotics (5 papers). Yinlam Chow collaborates with scholars based in United States, Israel and France. Yinlam Chow's co-authors include Marco Pavone, Mohammad Ghavamzadeh, Aviv Tamar, Shie Mannor, Jiyan Yang, Ram Rajagopal, Junjie Qin, Anirudha Majumdar, Sumeet Singh and Ofir Nachum and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.

In The Last Decade

Yinlam Chow

27 papers receiving 306 citations

Peers

Yinlam Chow

AI

CSE

MSOR

EEE

CTM

Danilo Macciò Italy

Bart P. G. Van Parys United States

Soroosh Shafieezadeh-Abadeh Switzerland

Shimrit Shtern Israel

Ravi Varadarajan United States

Zhibin Deng China

Carlos Cruz Spain

Jui-Fang Chang Taiwan

Olena Vynokurova Ukraine

James Robert Lloyd United Kingdom

Danilo Macciò Italy

Yinlam Chow

119 ×1.0

AI

84 ×0.9

CSE

27 ×0.3

MSOR

59 ×0.7

EEE

32 ×1.1

CTM

Citations per year, relative to Yinlam Chow Yinlam Chow (= 1×) peers Danilo Macciò

Countries citing papers authored by Yinlam Chow

Since Specialization

Citations

This map shows the geographic impact of Yinlam Chow's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yinlam Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinlam Chow more than expected).

Fields of papers citing papers by Yinlam Chow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yinlam Chow. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yinlam Chow. The network helps show where Yinlam Chow may publish in the future.

Co-authorship network of co-authors of Yinlam Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Yinlam Chow. A scholar is included among the top collaborators of Yinlam Chow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yinlam Chow. Yinlam Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Chow, Yinlam, et al.. (2022). Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. Proceedings of the ACM Web Conference 2022. 2411–2421. 2 indexed citations

2.

Chow, Yinlam, Ofir Nachum, Aleksandra Faust, Edgar A. Duéñez‐Guzmán, & Mohammad Ghavamzadeh. (2020). Safe Policy Learning for Continuous Control. 801–821. 3 indexed citations

3.

Chow, Yinlam, et al.. (2020). CAQL: Continuous Action Q-Learning. arXiv (Cornell University). 2 indexed citations

4.

Dai, Bo, Ofir Nachum, Yinlam Chow, et al.. (2020). CoinDICE: Off-Policy Confidence Interval Estimation. arXiv (Cornell University). 33. 9398–9411. 1 indexed citations

5.

Nachum, Ofir, Yinlam Chow, Bo Dai, & Lihong Li. (2019). DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections. arXiv (Cornell University). 32. 2315–2325. 10 indexed citations

6.

Ghavamzadeh, Mohammad, Ofir Nachum, & Yinlam Chow. (2018). Path Consistency Learning in Tsallis Entropy Regularized MDPs. International Conference on Machine Learning. 979–988. 4 indexed citations

7.

Tamar, Aviv, et al.. (2018). Imitation Learning from Visual Data with Multiple Intentions. International Conference on Learning Representations. 2 indexed citations

8.

Yang, Jiyan, Yinlam Chow, Christopher Ré, & Michael W. Mahoney. (2018). Weighted SGD for $\ell_p$ Regression with Randomized Preconditioning. Journal of Machine Learning Research. 18(211). 1–43. 1 indexed citations

9.

Liu, Bo, et al.. (2018). A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. arXiv (Cornell University). 31. 1065–1075. 12 indexed citations

10.

Singh, Sumeet, Yinlam Chow, Anirudha Majumdar, & Marco Pavone. (2018). A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms. IEEE Transactions on Automatic Control. 64(7). 2905–2912. 46 indexed citations

11.

Katariya, Sumeet, et al.. (2017). Sequential Multiple Hypothesis Testing with Type I Error Control.. International Conference on Artificial Intelligence and Statistics. 1468–1476. 5 indexed citations

12.

Qin, Junjie, et al.. (2016). Online Modified Greedy algorithm for storage control under uncertainty. 1–1.

13.

Yang, Jiyan, Yinlam Chow, Christopher Ré, & Michael W. Mahoney. (2015). Weighted SGD for ℓ_p Regression with Randomized Preconditioning. 558–569. 3 indexed citations

14.

Chow, Yinlam & Jia Yuan Yu. (2015). Real-time Bidding based Vehicle Sharing. 1829–1830. 4 indexed citations

15.

Tamar, Aviv, Yinlam Chow, Mohammad Ghavamzadeh, & Shie Mannor. (2015). Policy Gradient for Coherent Risk Measures. arXiv (Cornell University). 28. 1468–1476. 12 indexed citations

16.

Chow, Yinlam, Aviv Tamar, Shie Mannor, & Marco Pavone. (2015). Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. arXiv (Cornell University). 28. 1522–1530. 48 indexed citations

17.

Qin, Junjie, Yinlam Chow, Jiyan Yang, & Ram Rajagopal. (2015). Online Modified Greedy Algorithm for Storage Control Under Uncertainty. IEEE Transactions on Power Systems. 31(3). 1729–1743. 43 indexed citations

18.

Chow, Yinlam & Mohammad Ghavamzadeh. (2014). Algorithms for CVaR Optimization in MDPs. arXiv (Cornell University). 27. 3509–3517. 20 indexed citations

19.

Qin, Junjie, Yinlam Chow, Jiyan Yang, & Ram Rajagopal. (2014). Modeling and online control of generalized energy storage networks. 463. 27–38. 11 indexed citations

20.

Chow, Yinlam & Marco Pavone. (2013). A uniform-grid discretization algorithm for stochastic optimal control with risk constraints. 2465–2470. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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