PROBABILISTIC TASK MODELLING FOR META-LEARNING

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Veröffentlicht in:Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 2 of 3
1. Verfasser: Nguyen, Cuong C. (VerfasserIn)
Weitere Verfasser: Do, Thanh-Toan (VerfasserIn), Carneiro, Gustavo (VerfasserIn)
Pages:37
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2022
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Titel Jahr Verfasser
WHEN IS PARTICLE FILTERING EFFICIENT FOR PLANNING IN PARTIALLY OBSERVED LINEAR DYNAMICAL SYSTEMS? 2022 Du, Simon S.
PROBABILISTIC TASK MODELLING FOR META-LEARNING 2022 Nguyen, Cuong C.
PATH-BN: TOWARDS EFFECTIVE BATCH NORMALIZATION IN THE PATH SPACE FOR RELU NETWORKS 2022 Luo, Xufang
NEURAL MARKOV LOGIC NETWORKS 2022 Marra, Giuseppe
DEEP KERNELS WITH PROBABILISTIC EMBEDDINGS FOR SMALL-DATA LEARNING 2022 Mallick, Ankur
VARIATIONAL COMBINATORIAL SEQUENTIAL MONTE CARLO METHODS FOR BAYESIAN PHYLOGENETIC INFERENCE 2022 Moretti, Antonio Khalil
A DECENTRALIZED POLICY GRADIENT APPROACH TO MULTI-TASK REINFORCEMENT LEARNING 2022 Zeng, Sihan
BAYESIAN OPTIMIZATION FOR MODULAR BLACK-BOX SYSTEMS WITH SWITCHING COSTS 2022 Lin, Chi-Heng
PALM: PROBABILISTIC AREA LOSS MINIMIZATION FOR PROTEIN SEQUENCE ALIGNMENT 2022 Ding, Fan
NP-DRAW: A NON-PARAMETRIC STRUCTURED LATENT VARIABLE MODEL FOR IMAGE GENERATION 2022 Zeng, Xiaohui
STOCHASTIC CONTINUOUS NORMALIZING FLOWS: TRAINING SDES AS ODES 2022 Hodgkinson, Liam
VARIANCE-DEPENDENT BEST ARM IDENTIFICATION 2022 Lu, Pinyan
CONFIDENCE IN CAUSAL DISCOVERY WITH LINEAR CAUSAL MODELS 2022 Strieder, David
EXTENDABILITY OF CAUSAL GRAPHICAL MODELS: ALGORITHMS AND COMPUTATIONAL COMPLEXITY 2022 Wienöbst, Marcel
STOCHASTIC MODEL FOR SUNK COST BIAS 2022 Kleinberg, Jon
TRUMPETS: INJECTIVE FLOWS FOR INFERENCE AND INVERSE PROBLEMS 2022 Kothari, Konik
DIMENSION REDUCTION FOR DATA WITH HETEROGENEOUS MISSINGNESS 2022 Ling, Yurong
TENSOR-TRAIN DENSITY ESTIMATION 2022 Novikov, Georgii S.
TOWARDS ROBUST EPISODIC META-LEARNING 2022 Ermis, Beyza
HIERARCHICAL INDIAN BUFFET NEURAL NETWORKS FOR BAYESIAN CONTINUAL LEARNING 2022 Kessler, Samuel
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