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Kevin Tian

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titleconferencedate
Omnipredicting Single-Index Models with Multi-Index ModelsJoint IFML/MPG Symposium 20242024-11-19
This work constructs omnipredictors for single-index models by a sharp, agnostic analysis of the Isotron algorithm, giving a learner that is eps-competitive…
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Short-Flat Decompositions and Faster Algorithms for Linear Inverse ProblemsOptimization and Algorithm Design 20232023-11-27
Introduces short-flat decompositions as the structural tool that lets projected gradient methods tolerate a semi-random adversary and still recover sparse…
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Iterative Methods and High-Dimensional StatisticsMeet the Fellows Welcome Event2021-09-08
Proposes a Hamiltonian composite sampler that expands parameter space to make composite Langevin sampling stable and matches structured targets (box…
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Relative Lipschitzness in Extragradient Methods and a Direct Recipe for AccelerationITCS 20212021-01-06
Introduces a concrete condition called relative Lipschitzness between operator G and regularizer R and proves that standard extragradient (Mirror Prox)…
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Sponsored Keynote: The Future of VirtualizationKubeCon + CloudNativeCon + Open Source Summit China 20192019-06-24
Overview of concrete work: Firecracker and Kata Containers drive a shift toward tiny, secure VMs and the Rust-VMM project supplies reusable Rust libraries…
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Sponsored Keynote: The Future of VirtualizationKubeCon + CloudNativeCon China 20192019-06-24
Argues virtualization must shift from VM consolidation to tiny, secure, fast primitives for cloud-native workloads, citing Firecracker and the community-built…
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