Christopher Musco

Venues

Frequent coauthors

Papers

1. Query Efficient Structured Matrix Learning
   COLT 2026 ·

   Noah Amsel

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2. Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
   NeurIPS 2025 ·

   Yousef Al-Jazzazi

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3. Matrix Product Sketching via Coordinated Sampling
   ICLR 2025 ·

   Majid Daliri

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4. Provably Accurate Shapley Value Estimation via Leverage Score Sampling
   ICLR 2025 · Christopher Musco
5. Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
   NeurIPS 2025 ·

   R. Teal Witter

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6. Sharper Bounds for Chebyshev Moment Matching, with Applications
   COLT 2025 ·

   Cameron Musco

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7. A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy
   AAAI 2024 ·

   Lucas Rosenblatt

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8. Agnostic Active Learning of Single Index Models with Linear Sample Complexity
   COLT 2024 ·

   Aarshvi Gajjar

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9. Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
   NeurIPS 2024 ·

   R. Teal Witter

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10. Faster Spectral Density Estimation and Sparsification in the Nuclear Norm (Extended Abstract)
    COLT 2024 ·

    Yujia Jin

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11. Improved Active Learning via Dependent Leverage Score Sampling
    ICLR 2024 ·

    Atsushi Shimizu

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12. Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
    NeurIPS 2024 ·

    Haya Diwan

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13. Nearly Optimal Approximation of Matrix Functions by the Lanczos Method
    NeurIPS 2024 ·

    Noah Amsel

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14. Sampling Methods for Inner Product Sketching
    VLDB 2024 ·

    Majid Daliri

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