LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks
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2023 |
Mohr, Felix |
Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation
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2023 |
Watanabe, Koshi |
Optimization of Annealed Importance Sampling Hyperparameters
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2023 |
Goshtasbpour, Shirin |
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning
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2023 |
Huang, Zeren |
Learning to Control Local Search for Combinatorial Optimization
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2023 |
Falkner, Jonas K. |
On the Generalization of Neural Combinatorial Optimization Heuristics
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2023 |
Manchanda, Sahil |
Immediate Split Trees: Immediate Encoding of Floating Point Split Values I Random Forests
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2023 |
Hakert, Christian |
GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and Hardware
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2023 |
Liu, Xin |
Random Similarity Forests
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2023 |
Piernik, Maciej |
Ordinal Quantification Through Regularization
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2023 |
Bunse, Mirko |
Spectral Ranking with Covariates
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2023 |
Chau, Siu Lun |
Sparse Horseshoe Estimation via Expectation-Maximisation
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2023 |
Tew, Shu Yu |
Structure-Preserving Gaussian Process Dynamics
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2023 |
Ensinger, Katharina |
A Pre-screening Approach for Faster Bayesian Network Structure Learning
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2023 |
Rahier, Thibaud |
On Projectivity in Markov Logic Networks
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2023 |
Malhotra, Sagar |
Bayesian Nonparametrics for Sparse Dynamic Networks
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2023 |
Naik, Cian |
A Non-parametric Bayesian Approach for Uplift Discretization and Feature Selection
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2023 |
Rafla, Mina |
Mixed Integer Linear Programming for Optimizing a Hopfield Network
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2023 |
Rosenhahn, Bodo |
SaDe: Learning Models that Provably Satisfty Domain Constraints
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2023 |
Goyal, Kshitij |
FASE: A Fast, Accurate and Seamless Emulator for Custom Numerical Formats
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2023 |
Osorio, John |