Co-occurring keywords · papers mentioning both
Papers
Bounds on L_p Errors in Density Ratio Estimation via f-Divergence Loss Functions
ICLR 2025
Center-Based Approximation of a Drifting Distribution
ALT 2025
DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models
ICML 2025
Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem
IJCAI 2025
Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds
ICLR 2025
Bayesian Regret Minimization in Offline Bandits
ICML 2024
Estimating the Permanent by Nesting Importance Sampling
ICML 2024
Fat-Shattering Dimension of k-fold Aggregations
JMLR 2024
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
ICML 2024
KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem
AAAI 2024
Minimax Linear Regression under the Quantile Risk
COLT 2024
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
ECCV 2024
Towards Certifiably Robust Face Recognition
ECCV 2024
A Practical Upper Bound for the Worst-Case Attribution Deviations
CVPR 2023
A Refined Upper Bound and Inprocessing for the Maximum K-plex Problem
IJCAI 2023
Bounding Evidence and Estimating Log-Likelihood in VAE
AISTATS 2023
New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem
IJCAI 2023
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
ICML 2023
An Exact Algorithm with New Upper Bounds for the Maximum k-Defective Clique Problem in Massive Sparse Graphs
AAAI 2022
A New Bounding Scheme for Influence Diagrams
AAAI 2021
An Improved Upper Bound for SAT
AAAI 2021
Computing Plan-Length Bounds Using Lengths of Longest Paths
AAAI 2021
Novel Upper Bounds for the Constrained Most Probable Explanation Task
NeurIPS 2021
A One-step Approach to Covariate Shift Adaptation
ACML 2020
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
CVPR 2019