PPaperPicks

Kyra Gan

12 papers at tracked venues · 8 at CORE A* · active 2024–2025

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Venues

NeurIPS ×4AISTATS ×2ICML ×2UAI ×2AAAI ×1SIGKDD ×1

Frequent coauthors

Brian Cho
×4
Nathan Kallus
×3
Sujai Hiremath
×3
Promit Ghosal
×3
Jacqueline R. M. A. Maasch
×3
Fei Wang
×2
Dominik Meier
×2
Ana-Roxana Pop
×1
Sam Corbett-Davies
×1
Israel Nir
×1
Ariel Evnine
×1
Violet Chen
×1

Papers

  1. CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies
    SIGKDD 2025 ·
    Brian M. Cho
    ,
    Ana-Roxana Pop
    , Kyra Gan,
    Sam Corbett-Davies
    ,
    Israel Nir
    ,
    Ariel Evnine
    ,
    Nathan Kallus
  2. LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery
    UAI 2025 ·
    Sujai Hiremath
    ,
    Promit Ghosal
    , Kyra Gan
  3. Local Causal Discovery for Structural Evidence of Direct Discrimination
    AAAI 2025 ·
    Jacqueline R. M. A. Maasch
    , Kyra Gan,
    Violet Chen
    ,
    Agni Orfanoudaki
    ,
    Nil-Jana Akpinar
    ,
    Fei Wang
  4. Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
    NeurIPS 2025 ·
    Ruiyang Lin
    ,
    Yongyi Guo
    , Kyra Gan
  5. Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
    AISTATS 2025 ·
    Brian M. Cho
    ,
    Dominik Meier
    , Kyra Gan,
    Nathan Kallus
  6. Targeted Maximum Likelihood Learning: An Optimization Perspective
    NeurIPS 2025 ·
    Diyang Li
    , Kyra Gan
  7. When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
    NeurIPS 2025 ·
    Dominik Meier
    ,
    Sujai Hiremath
    ,
    Promit Ghosal
    , Kyra Gan
  8. Contextual Bandits with Budgeted Information Reveal
    AISTATS 2024 · Kyra Gan,
    Esmaeil Keyvanshokooh
    ,
    Xueqing Liu
    ,
    Susan A. Murphy
  9. Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models
    NeurIPS 2024 ·
    Sujai Hiremath
    ,
    Jacqueline R. M. A. Maasch
    ,
    Mengxiao Gao
    ,
    Promit Ghosal
    , Kyra Gan
  10. Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
    ICML 2024 ·
    Brian M. Cho
    ,
    Yaroslav Mukhin
    , Kyra Gan,
    Ivana Malenica
  11. Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
    UAI 2024 ·
    Jacqueline R. M. A. Maasch
    ,
    Weishen Pan
    ,
    Shantanu Gupta
    ,
    Volodymyr Kuleshov
    , Kyra Gan,
    Fei Wang
  12. Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
    ICML 2024 ·
    Brian Cho
    , Kyra Gan,
    Nathan Kallus