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Optimization

14,983 papers

Papers per year

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Papers

High Throughput Cryptocurrency Routing in Payment Channel Networks NSDI 2020
VMscatter: A Versatile MIMO Backscatter NSDI 2020
Performant TCP for Low-Power Wireless Networks NSDI 2020
RFocus: Beamforming Using Thousands of Passive Antennas NSDI 2020
Overload Control for µs-scale RPCs with Breakwater OSDI 2020
Kvell+: Snapshot Isolation without Snapshots OSDI 2020
Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads OSDI 2020
PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications OSDI 2020
AntMan: Dynamic Scaling on GPU Clusters for Deep Learning OSDI 2020
Gauntlet: Finding Bugs in Compilers for Programmable Packet Processing OSDI 2020
Testing Configuration Changes in Context to Prevent Production Failures OSDI 2020
Protean: VM Allocation Service at Scale OSDI 2020
Ansor: Generating High-Performance Tensor Programs for Deep Learning OSDI 2020
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks OSDI 2020
A Tensor Compiler for Unified Machine Learning Prediction Serving OSDI 2020
Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale OSDI 2020
Tuning Causal Discovery Algorithms PGM 2020
Solving Multiple Inference by Minimizing Expected Loss PGM 2020
Efficient Heuristic Search for M-Modes Inference PGM 2020
Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data PGM 2020
An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models PGM 2020
Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks PGM 2020
Learning decomposable models by coarsening PGM 2020
Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020
GOBNILP: Learning Bayesian network structure with integer programming PGM 2020