Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations

von Farquhar, Sebastian
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 6 of 27 (2021)

BATCHBALD: EFFICIENT AND DIVERSE BATCH ACQUISITION FOR DEEP BAYESIAN ACTIVE LEARNING

von Kirsch, Andreas
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 9 of 20 (2020)

Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation

von Kossen, Jannik
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 32 of 50 (2023)

QUANTIFYING IGNORANCE IN INDIVIDUAL-LEVEL CAUSAL-EFFECT ESTIMATES UNDER HIDDEN CONFOUNDING

von JESSON, ANDREW
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

IDENTIFYING CAUSAL-EFFECT INFERENCE FAILURE WITH UNCERTAINTY-AWARE MODELS

von Jesson, Andrew
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 14 of 27 (2021)

ACTIVE TESTING: SAMPLE-EFFICIENT MODEL EVALUATION

von KOSSEN, JANNIK
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 8 of 16 (2022)

Improving black-box optimization in VAE latent space using decoder uncertainty

von Notin, Pascal
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 2 of 36 (2022)

Domain Invariant Representation Learning with Domain Density Transformations

von Nguyen, A. Tuan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

UNCERTAINTY ESTIMATION USING A SINGLE DEEP DETERMINISTIC NEURAL NETWORK

von Amersfoort, Joost van
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 13 of 15 (2021)

Learning Dynamics and Generalization in Deep Reinforcement Learning

von Lyle, Clare
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 18 of 33 (2023)

ON SIGNAL-TO-NOISE RATIO ISSUES IN VARIATIONAL INFERENCE FOR DEEP GAUSSIAN PROCESSES

von RUDNER, TIM G. J.
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 12 of 16 (2022)

Tractable Function-Space Variational Inference in Bayesian Neural Networks

von Rudner, Tim G. J.
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 30 of 50 (2023)

A BAYESIAN PERSPECTIVE ON TRAINING SPEED AND MODEL SELECTION

von Lyle, Clare
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 13 of 27 (2021)

CAN AUTONOMOUS VEHICLES IDENTIFY, RECOVER FROM, AND ADAPT TO DISTRIBUTION SHIFTS?

von Filos, Angelos
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 5 of 15 (2021)

Interventions, Where and How? Experimental Design for Causal Models at Scale

von Tigas, Panagiotis
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 31 of 50 (2023)

PSIPHI-LEARNING: REINFORCEMENT LEARNING WITH DEMONSTRATIONS USING SUCCESSOR FEATURES AND INVERSE TEMPORAL DIFFERENCE LEARNING

von FILOS, ANGELOS
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 5 of 16 (2022)

Outcome-Driven Reinforcement Learning via Variational Inference

von Rudner, Tim G. J.
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 16 of 36 (2022)

Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data

von Jesson, Andrew
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 36 of 36 (2022)

On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations

von Rudner, Tim G. J.
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 34 of 36 (2022)

Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning

von Kossen, Jannik
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 34 of 36 (2022)