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20122024
most citedThe Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

1.3k citations · 2.1k across the 35 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.DC2022

Cost-aware Duration Prediction for Software Upgrades in Datacenters

Yi Ding, Aijia Gao, Thibaud Ryden +4

Software upgrades are critical to maintaining server reliability in datacenters. While job duration prediction and scheduling have been extensively studied, the unique challenges p…

cs.LG2022★ 5 cited

Pruning's Effect on Generalization Through the Lens of Training and Regularization

Tian Jin, Michael Carbin, Daniel M. Roy +2

Practitioners frequently observe that pruning improves model generalization. A long-standing hypothesis based on bias-variance trade-off attributes this generalization improvement…

cs.PL2022

Semi-Symbolic Inference for Efficient Streaming Probabilistic Programming

Eric Atkinson, Charles Yuan, Guillaume Baudart +2

Efficient inference is often possible in a streaming context using Rao-Blackwellized particle filters (RBPFs), which exactly solve inference problems when possible and fall back on…

cs.PL2022★ 30 cited

Twist: Sound Reasoning for Purity and Entanglement in Quantum Programs

Charles Yuan, Christopher McNally, Michael Carbin

Quantum programming languages enable developers to implement algorithms for quantum computers that promise computational breakthroughs in classically intractable tasks. Programming…

cs.PL2022★ 26 cited

Tower: Data Structures in Quantum Superposition

Charles Yuan, Michael Carbin

Emerging quantum algorithms for problems such as element distinctness, subset sum, and closest pair demonstrate computational advantages by relying on abstract data structures. Pra…

eess.SY2022★ 1 cited

SCOPE: Safe Exploration for Dynamic Computer Systems Optimization

Hyunji Kim, Ahsan Pervaiz, Henry Hoffmann +2

Modern computer systems need to execute under strict safety constraints (e.g., a power limit), but doing so often conflicts with their ability to deliver high performance (i.e. min…