MODULATING SURROGATES FOR BAYESIAN OPTIMIZATION

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 2 of 15
1. Verfasser: Bodin, E. (VerfasserIn)
Weitere Verfasser: Kaiser, M. (VerfasserIn), Kazlauskaite, I. (VerfasserIn), Dai, Z. (VerfasserIn), Campbell, N. (VerfasserIn), Ek, C. (VerfasserIn)
Pages:37
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
NEAR-OPTIMAL SAMPLE COMPLEXITY BOUNDS FOR LEARNING LATENT K-POLYTOPES AND APPLICATIONS TO AD-MIXTURES 2021 Bhattacharyya, Chiranjib
PROVABLE GUARANTEES FOR DECISION TREE INDUCTION: THE AGNOSTIC SETTING 2021 Blanc, Guy
FAST DIFFERENTIABLE SORTING AND RANKING 2021 Blondel, M.
DEEP COORDINATION GRAPHS 2021 Bohmer, W.
LORENTZ GROUP EQUIVARIANT NEURAL NETWORK FOR PARTICLE PHYSICS 2021 Bogatskiy, Alexander
SPECTRUM DEPENDENT LEARNING CURVES IN KERNEL REGRESSION AND WIDE NEURAL NETWORKS 2021 Bordelon, Blake
TIGHTENING EXPLORATION IN UPPER CONFIDENCE REINFORCEMENT LEARNING 2021 Bourel, Hippolyte
LATENT VARIABLE MODELLING WITH HYPERBOLIC NORMALIZING FLOWS 2021 Bose, Avishek Joey
CALIBRATION, ENTROPY RATES, AND MEMORY IN LANGUAGE MODELS 2021 Braverman, Mark
ADVERSARIAL FILTERS OF DATASET BIASES 2021 Bras, Ronan Le
GNN-FILM: GRAPH NEURAL NETWORKS WITH FEATURE-WISE LINEAR MODULATION 2021 Brockschmidt, M.
TASKNORM: RETHINKING BATCH NORMALIZATION FOR META-LEARNING 2021 Bronskill, John
SAFE IMITATION LEARNING VIA FAST BAYESIAN REWARD INFERENCE FROM PREFERENCES 2021 Brown, Daniel S.
POISSON LEARNING: GRAPH BASED SEMI-SUPERVISED LEARNING AT VERY LOW LABEL RATES 2021 Calder, Jeff
EXPLORE, DISCOVER AND LEARN: UNSUPERVISED DISCOVERY OF STATE-COVERING SKILLS 2021 Campos, Víctor
META-LEARNING WITH STOCHASTIC LINEAR BANDITS 2021 Cella, L.
DATA PREPROCESSING TO MITIGATE BIAS: A MAXIMUM ENTROPY BASED APPROACH 2021 Celis, L. Elisa
CONCISE EXPLANATIONS OF NEURAL NETWORKS USING ADVERSARIAL TRAINING 2021 Chalasani, P.
UNLABELLED DATA IMPROVES BAYESIAN UNCERTAINTY CALIBRATION UNDER COVARIATE SHIFT 2021 Chan, Alex J.
OPTIMIZING FOR THE FUTURE IN NON-STATIONARY MDPS 2021 Chandak, Y.
Alle Artikel auflisten