Publications associées à Distributed process groups in the V Kernel

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Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic

In this paper, we consider the problem of sequentially optimizing a black-box function

f

based on noisy samples and bandit feedback. We assume that

f

is smooth in the sense of having a bounded norm in some reproducing kernel Hilbert space (RKHS), yield ...

2017

Distributed process groups in the V Kernel

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Chattez avec Graph Search

Efficient Verifiable Delay Functions

PoLPer: Process-Aware Restriction of Over-Privileged Setuid Calls in Legacy Applications

Advancing the State of Network Switch ASIC Offloading in the Linux Kernel

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

The Disclosure Power of Shared Objects

The Disclosure Power of Shared Objects

Atum: Scalable Group Communication Using Volatile Groups

Group diffusion LMS

The Linux Scheduler: A Decade of Wasted Cores

Deciphering the Silent Participant. On the Use of Audio-Visual Cues for the Classification of Listener Categories in Group Discussions

Advancing the State of Network Switch ASIC Offloading in the Linux Kernel

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization

The Disclosure Power of Shared Objects

The Disclosure Power of Shared Objects

PoLPer: Process-Aware Restriction of Over-Privileged Setuid Calls in Legacy Applications

Atum: Scalable Group Communication Using Volatile Groups

Group diffusion LMS

Deciphering the Silent Participant. On the Use of Audio-Visual Cues for the Classification of Listener Categories in Group Discussions

The Linux Scheduler: A Decade of Wasted Cores

Efficient Verifiable Delay Functions