Kyra Gan

10 papers · 2021–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16) 💎 Century Club · Bronze ⚡ Prolific Year · Productive

🗃️ Keyword Collector (50)

Venues

AISTATS (3) ICML (2) NeurIPS (2) UAI (2) AAAI (1)

Top co-authors

Brian M Cho (3) Jacqueline Maasch (3) Fei Wang (2) Andrew Li (2) Promit Ghosal (2) Sujai Hiremath (2) Nathan Kallus (2) Nil-Jana Akpinar (1) Susan Murphy (1) Zachary Lipton (1)

Research topics

Machine Learning (8) Learning Types (5) Artificial Intelligence (4) Mathematics & Optimization (4) Core AI (4) Optimization (4) Optimization & Theory (3) Computer Science (2) Knowledge & Reasoning (2) Application Areas (2) Bayesian & Probabilistic (2) Foundations (2) Reasoning (2)

Keywords

causal discovery (3) average treatment effect (2) additive noise model (2) causal inference (2) sample complexity (1) regret minimization (1) algorithmic fairness (1) directed acyclic graph (1) selective sampling (1) sequential decision (1) primal-dual algorithm (1) multi-armed bandit (1) greedy algorithm (1) data stream (1) pure exploration (1) sequential hypothesis testing (1) contextual bandit (1) approximation guarantee (1) approximation algorithm (1) reproducing kernel hilbert space (1)

Papers

Local Causal Discovery for Structural Evidence of Direct Discrimination AAAI 2025 LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery UAI 2025 Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits AISTATS 2025 Contextual Bandits with Budgeted Information Reveal AISTATS 2024 Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models NeurIPS 2024 Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters ICML 2024 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs UAI 2024 Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams ICML 2024 Causal Inference with Selectively Deconfounded Data AISTATS 2021 Greedy Approximation Algorithms for Active Sequential Hypothesis Testing NeurIPS 2021