7 citations · 24 across the 15 of their papers we have counts for
10 papers · 1 filter
COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams
Shripad Deshmukh, Jayakumar Subramanian, Raghavendra Addanki +1
In cooperative teams where agents act in a fixed order and share a single team-level reward (multi-agent language systems, sequential robotic tasks), per-agent credit assignment is…
ML-Tool-Bench: Tool-Augmented Planning for ML Tasks
Yaswanth Chittepu, Raghavendra Addanki, Tung Mai +2
The development of autonomous machine learning (ML) agents capable of end-to-end data science workflows represents a significant frontier in artificial intelligence. These agents m…
Causal Discovery in Semi-Stationary Time Series
Shanyun Gao, Raghavendra Addanki, Tong Yu +2
Discovering causal relations from observational time series without making the stationary assumption is a significant challenge. In practice, this challenge is common in many areas…
Causal Discovery-Driven Change Point Detection in Time Series
Shanyun Gao, Raghavendra Addanki, Tong Yu +2
Change point detection in time series aims to identify moments when the probability distribution of time series changes. It is widely applied in many areas, such as human activity…
Limits of Approximating the Median Treatment Effect
Raghavendra Addanki, Siddharth Bhandari
Average Treatment Effect (ATE) estimation is a well-studied problem in causal inference. However, it does not necessarily capture the heterogeneity in the data, and several approac…
One Pass Streaming Algorithm for Super Long Token Attention Approximation in Sublinear Space
Raghav Addanki, Chenyang Li, Zhao Song +1
Attention computation takes both the time complexity of and the space complexity of simultaneously, which makes deploying Large Language Models (LLMs) in streamin…