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Found 10 papers, 1 papers with code
Transfer Learning via Latent Dependency Factor for Estimating PM 2.5
We recognize this transfer problem as spatial transfer learning and propose a new feature named Latent Dependency Factor (LDF) that captures spatial and semantic dependencies of both domains and is subsequently added to the datasets.
Predictive Inference in Multi-environment Scenarios
We address the challenge of constructing valid confidence intervals and sets in problems of prediction across multiple environments.
Predictive Inference with Weak Supervision
The expense of acquiring labels in large-scale statistical machine learning makes partially and weakly-labeled data attractive, though it is not always apparent how to leverage such data for model fitting or validation.
The $s$-value: evaluating stability with respect to distributional shifts
We evaluate the performance of the proposed measure on real data and show that it can elucidate the distributional instability of a parameter with respect to certain shifts and can be used to improve estimation accuracy under shifted distributions.
Robust Validation: Confident Predictions Even When Distributions Shift
One strategy -- coming from robust statistics and optimization -- is thus to build a model robust to distributional perturbations.
Knowing what you know: valid and validated confidence sets in multiclass and multilabel prediction
We develop conformal prediction methods for constructing valid predictive confidence sets in multiclass and multilabel problems without assumptions on the data generating distribution.
ResilientDB: Global Scale Resilient Blockchain Fabric
Recent developments in blockchain technology have inspired innovative new designs in resilient distributed and database systems.
Databases Distributed, Parallel, and Cluster Computing
Permissioned Blockchain Through the Looking Glass: Architectural and Implementation Lessons Learned
We show that designing such a well-crafted system is possible and illustrate that even if such a system employs a three-phase protocol, it can outperform another system utilizing a single-phase protocol.
Databases Distributed, Parallel, and Cluster Computing
Scaling Blockchain Databases through Parallel Resilient Consensus Paradigm
At the core of MultiBFT is an approach to continuously order the client-transactions by running several instances of the underlying BFT protocol in parallel.
Databases Distributed, Parallel, and Cluster Computing
Proof-of-Execution: Reaching Consensus through Fault-Tolerant Speculation
Multi-party data management and blockchain systems require data sharing among participants.
Databases Distributed, Parallel, and Cluster Computing
