2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Efficient Online Conformal Selection with Limited Feedback
Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala +1
We address the problem of conformal selection, where an agent must select a low-cost subset of options to ensure that at least one "success" is identified at a pre-specified target…
Sample-Efficient Optimization over Generative Priors via Coarse Learnability
Pranjal Awasthi, Sreenivas Gollapudi, Ravi Kumar +1
We study zeroth-order optimization where solutions must minimize a cost while maintaining high probability under a complex generative prior (e.g., a parameterized mod…
Compact Conformal Subgraphs
Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala +1
Conformal prediction provides rigorous, distribution-free uncertainty guarantees, but often yields prohibitively large prediction sets in structured domains such as routing, planni…
Multi-Selection for Recommendation Systems
Sahasrajit Sarmasarkar, Zhihao Jiang, Ashish Goel +2
We present the construction of a multi-selection model to answer differentially private queries in the context of recommendation systems. The server sends back multiple recommendat…