Optimal Clustering with Noisy Queries via Multi-Armed Bandit
Comments ICML 2022
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation
Comments ICML 2022 Workshop on Adaptive Experimental Design and Active Learning in the Real World. 16 pages, 5 figures
Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?
Comments 2nd AI4Science Workshop at ICML 2022
Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods
Comments 9 pages. To appear in proceedings of 2nd International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2022
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
Comments ICML 2022 (long talk). Code available at https://github.com/jmaces/aapm-ct-challenge. arXiv admin note: text overlap with arXiv:2106.00280
Journal ref Proceedings of the 39th International Conference on Machine Learning, PMLR 162:7368-7381, 2022
Online Meta-Learning in Adversarial Multi-Armed Bandits
Comments v1: The paper is submitted to NeurIPS 2022. An older version was rejected from ICML 2022 v2: Added a reference to concurrent work in Prior Art section
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
Comments ICML 2022. Code available at https://github.com/samuelstanton/lambo
Equivariance versus Augmentation for Spherical Images
Comments Accepted to ICML2022, updated according to ICML-reviewer comments, 18 pages of which 9 in main body, 16 figures,
Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry
Comments Presented at 2nd Workshop on Interpretable Machine Learning in Healthcare (IMLH) - International Conference on Machine Learning (ICML) 2022
Matching Normalizing Flows and Probability Paths on Manifolds
Comments ICML 2022
Learning Large-scale Universal User Representation with Sparse Mixture of Experts
Comments Accepted by ICML 2022 Pre-training Workshop
Journal ref International Conference on Machine Learning (ICML), First Workshop of Pre-training, 2022
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks
Comments Accepted to ICML 2022
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Comments Accepted by ICML 2022; 23 pages
Bayesian Neural Networks for classification tasks in the Rubin big data era
Comments Accepted at the ICML 2022 Workshop on Machine Learning for Astrophysics
Noisy Heuristics NAS: A Network Morphism based Neural Architecture Search using Heuristics
Comments 11 pages, 10 figures, DyNN workshop at the 39 th International Conference on Machine Learning, 2022
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
Comments Proceeding of the 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, PMLR 162, 2022
Faster Privacy Accounting via Evolving Discretization
Comments Appeared in International Conference on Machine Learning (ICML) 2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Comments ICML 2022
Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features
Comments 4 pages, 2 figures, spotlight talk at SCIS workshop, ICML 2022
SDQ: Stochastic Differentiable Quantization with Mixed Precision
Comments ICML 2022
DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning
Comments Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML@ICML'22)
Self-Supervised Representation Learning via Latent Graph Prediction
Comments 18 pages, 2 figures, supplement included. Accepted by ICML 2022
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
Comments 35 pages, 2 figures, 1 table. In ICML 2022
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
Comments To be presented in ICML 2022
When and How Mixup Improves Calibration
Comments Accepted for ICML 2022
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics
Journal ref Proceedings of the 39th International Conference on Machine Learning, 2022
Population-Level Inference of Strong Gravitational Lenses with Neural Network-Based Selection Correction
Comments 8 pages, 5 figures, accepted at the ICML 2022 Workshop on Machine Learning for Astrophysics
Causal Discovery using Model Invariance through Knockoff Interventions
Journal ref ICML 2022: Workshop on Spurious Correlations, Invariance and Stability
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning
Comments Accepted at the Workshop AI4ABM at ICML 2022 (Spotlight)
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Comments This work will appear in ICML 2022
