80 citations · 230 across the 16 of their papers we have counts for
17 papers
NCC: Natural Concurrency Control for Strictly Serializable Datastores by Avoiding the Timestamp-Inversion Pitfall
Haonan Lu, Shuai Mu, Siddhartha Sen +1
Strictly serializable datastores greatly simplify the development of correct applications by providing strong consistency guarantees. However, existing techniques pay unnecessary c…
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
Jinkun Lin, Anqi Zhang, Mathias Lecuyer +3
We develop a new, principled algorithm for estimating the contribution of training data points to the behavior of a deep learning model, such as a specific prediction it makes. Our…
Sayer: Using Implicit Feedback to Optimize System Policies
Mathias Lécuyer, Sang Hoon Kim, Mihir Nanavati +4
We observe that many system policies that make threshold decisions involving a resource (e.g., time, memory, cores) naturally reveal additional, or implicit feedback. For example,…
SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity
Xu Zhang, Yiyang Ou, Siddhartha Sen +1
This paper aims to improve video streaming by leveraging a simple observation: users are more sensitive to low quality in certain parts of a video than in others. For instance, reb…
A New Abstraction for Internet QoE Optimization
Junchen Jiang, Siddhartha Sen
A perennial quest in networking research is how to achieve higher quality of experience (QoE) for users without incurring more resources. This work revisits an important yet often…
Learning Models of Individual Behavior in Chess
Reid McIlroy-Young, Russell Wang, Siddhartha Sen +2
AI systems that can capture human-like behavior are becoming increasingly useful in situations where humans may want to learn from these systems, collaborate with them, or engage w…