Near-Optimal Quantum Coreset Construction Algorithms for Clustering
Comments Comments: 32 pages, 0 figures, 1 table. To appear in the Fortieth International Conference on Machine Learning (ICML 2023)
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Conformal Prediction with Missing Values
Comments Code for our experiments can be found at https://github.com/mzaffran/ConformalPredictionMissingValues . To be published in the proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings
Comments Accepted in the 40th International Conference on Machine Learning (ICML 2023)
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
Comments Accepted to ICML 2023
Coupled Variational Autoencoder
Comments ICML 2023
Spatial Implicit Neural Representations for Global-Scale Species Mapping
Comments ICML 2023
Improved Active Multi-Task Representation Learning via Lasso
Comments Accepted by ICML 2023
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm
Comments Published on International Conference on Machine Learning (ICML) 2023
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
Comments Proceedings of the 40th International Conference on Machine Learning
ContraBAR: Contrastive Bayes-Adaptive Deep RL
Comments ICML 2023. Pytorch code available at https://github.com/ec2604/ContraBAR
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
Comments 22 pages, 6 figures, conference paper, published in International Conference on Machine Learning. PMLR, 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Comments Accepted to ICML 2023
Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits
Comments ICML 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
Comments ICML 2023
Exponential Smoothing for Off-Policy Learning
Comments ICML 2023 (Oral and Poster)
Accelerated Stochastic Optimization Methods under Quasar-convexity
Comments Accepted at the main conference of ICML 2023. 30 pages
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
Comments ICML 2023
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
Comments To appear at International Conference on Machine Learning (ICML) 2023. 21 pages, 8 figures
Neural signature kernels as infinite-width-depth-limits of controlled ResNets
Comments Added commutativity of limits, ICML 2023 final version
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
Comments Accepted to ICML'23 for live oral presentation
Controllability-Aware Unsupervised Skill Discovery
Comments ICML 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL
Comments ICML 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
Comments Accepted at ICML 2023. Paper website: https://sites.google.com/view/rlsbench/
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
Comments ICML 2023 18 pages
Auxiliary Learning as an Asymmetric Bargaining Game
Comments ICML 2023
ClusterFuG: Clustering Fully connected Graphs by Multicut
Comments ICML 2023
Pre-training for Speech Translation: CTC Meets Optimal Transport
Comments ICML 2023 (oral presentation). This version fixed URLs, updated affiliations & acknowledgements, and improved formatting
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
Comments Accepted at ICML 2023. 9 pages + 13 pages appendix, 8 figures
An SDE for Modeling SAM: Theory and Insights
Comments Accepted at ICML 2023 (Poster)
Robust Perception through Equivariance
Comments Published in ICML 2023
