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01/12/2023
A Programming Model for GPU Load Balancing
We propose a GPU fine-grained load-balancing abstraction that decouples ...
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01/09/2023
Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU
We introduce Stream-K, a work-centric parallelization of matrix multipli...
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12/17/2022
GPU Load Balancing
Fine-grained workload and resource balancing is the key to high performa...
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12/15/2022
Essentials of Parallel Graph Analytics
We identify the graph data structure, frontiers, operators, an iterative...
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05/18/2021
Distributionally Robust Learning in Heterogeneous Contexts
We consider the problem of learning from training data obtained in diffe...
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10/09/2020
Robust Localization in Wireless Networks From Corrupted Signals
We address the problem of timing-based localization in wireless networks...
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07/03/2020
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
A spatial point process can be characterized by an intensity function wh...
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06/03/2020
Learning Robust Decision Policies from Observational Data
We address the problem of learning a decision policy from observational ...
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10/25/2019
DENS: A Dataset for Multi-class Emotion Analysis
We introduce a new dataset for multi-class emotion analysis from long-fo...
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10/25/2019
Exploring Multilingual Syntactic Sentence Representations
We study methods for learning sentence embeddings with syntactic structu...
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10/03/2019
Robust Risk Minimization for Statistical Learning
We consider a general statistical learning problem where an unknown frac...
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01/28/2019
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding
We address the problem of inferring the causal effect of an exposure on ...
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02/09/2018
Learning Localized Spatio-Temporal Models From Streaming Data
We address the problem of predicting spatio-temporal processes with temp...
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01/15/2018
