LCDB 1.0: An Extensive Learning Curves Database for Classification Tasks
|
2023 |
Mohr, Felix |
Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation
|
2023 |
Watanabe, Koshi |
Optimization of Annealed Importance Sampling Hyperparameters
|
2023 |
Goshtasbpour, Shirin |
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning
|
2023 |
Huang, Zeren |
Learning to Control Local Search for Combinatorial Optimization
|
2023 |
Falkner, Jonas K. |
On the Generalization of Neural Combinatorial Optimization Heuristics
|
2023 |
Manchanda, Sahil |
Immediate Split Trees: Immediate Encoding of Floating Point Split Values I Random Forests
|
2023 |
Hakert, Christian |
GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and Hardware
|
2023 |
Liu, Xin |
Factorized Structured Regression for Large-Scale Varying Coefficient Models
|
2023 |
Rügamer, David |
Learning Optimal Transport Between Two Empirical Distributions with Normalizing Flows
|
2023 |
Coeurdoux, Florentin |
Rethinking Exponential Averaging of the Fisher
|
2023 |
Puiu, Constantin Octavian |
Training Parameterized Quantum Circuits with Triplet Loss
|
2023 |
Wendenius, Christof |
From Graphs to DAGs: A Low-Complexity Model and a Scalable Algorithm
|
2023 |
Dong, Shuyu |
Truly Unordered Probabilistic Rule Sets for Multi-class Classification
|
2023 |
Yang, Lincen |
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages
|
2023 |
Simionato, Dario |
Feature-Robust Optimal Transport for High-Dimensional Data
|
2023 |
Petrovich, Mathis |
Penalized FTRL with Time-Varying Constraints
|
2023 |
Leith, Douglas J. |
Learning Optimal Decision Trees Under Memory Constraints
|
2023 |
Aglin, Gaël |
Time Constrained DL8.5 Using Limited Discrepancy Search
|
2023 |
Kiossou, Harold |
Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search
|
2023 |
Stolle, Kurt |