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Khashayar Gatmiry

Bandit Algorithms for Prophet Inequality and Pandora's Box
2024 · Khashayar Gatmiry, Thomas Kesselheim, et al. · Society for Industrial and Applied Mathematics eBooks · 12
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Non-submodular Function Maximization subject to a Matroid Constraint, with Applications
2018 · Gatmiry, Khashayar, Gomez-Rodriguez, Manuel · arXiv (Cornell University) · 9
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The Network Visibility Problem
2021 · Khashayar Gatmiry, Manuel Gomez-Rodriguez · ACM Transactions on Information Systems · 7
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On the Generalization of Learning Algorithms that Do Not Converge
2022 · Nisha Chandramoorthy, Andreas Loukas, et al. · neural information processing systems · 3
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Rethinking Invariance in In-context Learning
2025 · Fang, Lizhe, Wang, Yifei, et al. · arXiv (Cornell University) · 2
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A Unified Approach to Controlling Implicit Regularization via Mirror Descent
2023 · Sun, Haoyuan, Gatmiry, Khashayar, et al. · arXiv (Cornell University) · 2
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When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?
2023 · Chen, Yuansi, Gatmiry, Khashayar, et al. · arXiv (Cornell University) · 2
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Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond
2022 · Soma, Tasuku, Gatmiry, Khashayar, et al. · arXiv (Cornell University) · 2
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Convergence of the Riemannian Langevin Algorithm
2022 · Gatmiry, Khashayar, Vempala, Santosh S. · arXiv (Cornell University) · 2
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Learning Mixtures of Gaussians Using Diffusion Models
2024 · Gatmiry, Khashayar, Kelner, Jonathan, et al. · arXiv (Cornell University) · 1
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What does guidance do? A fine-grained analysis in a simple setting
2024 · Muthu Chidambaram, Khashayar Gatmiry, et al. · neural information processing systems · 1
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The Inductive Bias of Flatness Regularization for Deep Matrix Factorization
2023 · Gatmiry, Khashayar, Li, Zhiyuan, et al. · arXiv (Cornell University) · 1
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Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live IOS Apps
2026 · Duan, Peitong, Gatmiry, Khashayar, et al. · arXiv (Cornell University)
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Transformers Learn Two Competing Sorting Algorithms, and Only One Length-Generalizes
2026 · Gatmiry, Khashayar, Henry, Nathan W., et al. · arXiv (Cornell University)
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RLTLDR: Self-improvement by Internalizing Self-generated Feedback
2026 · Kirchhof, Michael, Gualdoni, Eleonora, et al. · arXiv (Cornell University)
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Learn Your Own Thoughts: Abstract Token Curriculum
2026 · Gatmiry, Khashayar, Ghosh, Avrajit, et al. · arXiv (Cornell University)
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High-accuracy and dimension-free sampling with diffusions
2026 · Gatmiry, Khashayar, Chen, Sitan, et al. · arXiv (Cornell University)
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Understanding and Overcoming Optimization Barriers in Non-convex and Non-smooth Machine Learning
2025 · Gatmiry, Khashayar · DSpace@MIT (Massachusetts Institute of Technology)
On the Role of Depth and Looping for In-Context Learning with Task Diversity
2024 · Gatmiry, Khashayar, Saunshi, Nikunj, et al. · arXiv (Cornell University)
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Computing Optimal Regularizers for Online Linear Optimization
2024 · Gatmiry, Khashayar, Schneider, Jon, et al. · arXiv (Cornell University)
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Simplicity Bias via Global Convergence of Sharpness Minimization
2024 · Gatmiry, Khashayar, Li, Zhiyuan, et al. · arXiv (Cornell University)
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Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
2024 · Gatmiry, Khashayar, Saunshi, Nikunj, et al. · arXiv (Cornell University)
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Adversarial Online Learning with Temporal Feedback Graphs
2024 · Gatmiry, Khashayar, Schneider, Jon · arXiv (Cornell University)
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EM for Mixture of Linear Regression with Clustered Data
2023 · Reisizadeh, Amirhossein, Gatmiry, Khashayar, et al. · arXiv (Cornell University)
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A Simple Proof of the Mixing of Metropolis-Adjusted Langevin Algorithm under Smoothness and Isoperimetry
2023 · Chen, Yuansi, Gatmiry, Khashayar · arXiv (Cornell University)
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Works count: 32
Citation count: 44
H-index: 3
I10-index: 1
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