Bayesian Nonparametrics for Offline Skill Discovery
Comments Accepted at ICML 2022
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Flashlight: Enabling Innovation in Tools for Machine Learning
Comments Presented at ICML 2022
$p$-Laplacian Based Graph Neural Networks
Comments ICML'2022
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Comments Accepted to ICML 2022
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
Comments Corrected technical report for the paper with the same title in the proceedings of the thirty-eighth International Conference on Machine Learning (ICML 2021), virtual. Compared to v5, this version removes the version indicator from an arXiv reference. 43 pages and 6 figures
Langevin Monte Carlo for Contextual Bandits
Comments 21 pages, 3 figures, 2 tables. To appear in the proceedings of the 39th International Conference on Machine Learning (ICML2022)
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
Comments accepted by ICML 2022
Bregman Power k-Means for Clustering Exponential Family Data
Comments In Proceedings of the 39 th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, PMLR 162, 2022
Exploring the Effectiveness of Self-supervised Learning and Classifier Chains in Emotion Recognition of Nonverbal Vocalizations
Comments Accepted by the ICML Expressive Vocalizations Workshop and Competition 2022
Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective
Comments ICML 2022 PODS Workshop
Differentially Private Maximal Information Coefficients
Comments 38 pages, to appear in ICML 2022
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Comments published at ICML 2022
Only Tails Matter: Average-Case Universality and Robustness in the Convex Regime
Comments To be published in ICML 2022
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
Comments ICML 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Comments ICML 2022
Domain Adaptation for Time Series Forecasting via Attention Sharing
Comments ICML 2022
Least Squares Estimation Using Sketched Data with Heteroskedastic Errors
Comments 42 pages, 4 tables. Accepted for presentation at ICML 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
Comments ICML 2022
The State of Sparse Training in Deep Reinforcement Learning
Comments Proceedings of the 39th International Conference on Machine Learning (ICML'22)
Neurotoxin: Durable Backdoors in Federated Learning
Comments Appears in ICML 2022
Optimally Controllable Perceptual Lossy Compression
Comments ICML 2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
Comments ICML 2022
A Langevin-like Sampler for Discrete Distributions
Comments Published at ICML 2022
Low-Precision Stochastic Gradient Langevin Dynamics
Comments Published at ICML 2022
Additive Gaussian Processes Revisited
Comments 39th International Conference on Machine Learning (ICML 2022)
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
Comments to appear at ICML 2022
A universal black-box optimization method with almost dimension-free convergence rate guarantees
Comments 31 pages, 4 figures, 1 table; to appear in ICML 2022
Nested bandits
Comments 35 pages, 14 figures; to appear in ICML 2022
Bayesian Optimization under Stochastic Delayed Feedback
Comments Accepted to ICML 2022
Robust Imitation Learning against Variations in Environment Dynamics
Comments Accepted to ICML 2022
