Transfer Learning Beyond Bounded Density Ratios
Fuente:
arXiv
Saved in:
| Main Authors: | Kalavasis, Alkis, Zadik, Ilias, Zampetakis, Manolis |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
by: Kalavasis, Alkis, et al.
Published: (2026)
by: Kalavasis, Alkis, et al.
Published: (2026)
Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond
by: Kalavasis, Alkis, et al.
Published: (2025)
by: Kalavasis, Alkis, et al.
Published: (2025)
Linear Regression with Unknown Truncation Beyond Gaussian Features
by: Kouridakis, Alexandros, et al.
Published: (2026)
by: Kouridakis, Alexandros, et al.
Published: (2026)
Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
by: Kalavasis, Alkis, et al.
Published: (2026)
by: Kalavasis, Alkis, et al.
Published: (2026)
DDPM Score Matching and Distribution Learning
by: Chewi, Sinho, et al.
Published: (2025)
by: Chewi, Sinho, et al.
Published: (2025)
Efficient Parameter Estimation of Truncated Boolean Product Distributions
by: Fotakis, Dimitris, et al.
Published: (2020)
by: Fotakis, Dimitris, et al.
Published: (2020)
Smoothed Analysis of Learning from Positive Samples
by: Lee, Jane H., et al.
Published: (2025)
by: Lee, Jane H., et al.
Published: (2025)
Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians
by: Lee, Jane H., et al.
Published: (2024)
by: Lee, Jane H., et al.
Published: (2024)
A Note on Non-Negative $L_1$-Approximating Polynomials
by: Lee, Jane H., et al.
Published: (2026)
by: Lee, Jane H., et al.
Published: (2026)
Almost-Optimal Local-Search Methods for Sparse Tensor PCA
by: Lovig, Max, et al.
Published: (2025)
by: Lovig, Max, et al.
Published: (2025)
Stable Algorithms Lower Bounds for Estimation
by: Yu, Xifan, et al.
Published: (2026)
by: Yu, Xifan, et al.
Published: (2026)
What is Learnable in Valiant's Theory of the Learnable?
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
On The MCMC Performance In Bernoulli Group Testing And The Random Max Set-Cover Problem
by: Lovig, Maxwell, et al.
Published: (2024)
by: Lovig, Maxwell, et al.
Published: (2024)
Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion
by: Mehrotra, Anay, et al.
Published: (2026)
by: Mehrotra, Anay, et al.
Published: (2026)
Statistical Query Lower Bounds for Learning Truncated Gaussians
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
On the Low-Temperature MCMC threshold: the cases of sparse tensor PCA, sparse regression, and a geometric rule
by: Chen, Zongchen, et al.
Published: (2024)
by: Chen, Zongchen, et al.
Published: (2024)
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Models
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph
by: Yu, Xifan, et al.
Published: (2024)
by: Yu, Xifan, et al.
Published: (2024)
Online Learning of Halfspaces with Massart Noise
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
On the Learning Curves of Revenue Maximization
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
PTF Testing Lower Bounds for Non-Gaussian Component Analysis
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Robust Learning of Multi-index Models via Iterative Subspace Approximation
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
On Learning Parallel Pancakes with Mostly Uniform Weights
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Low-degree Security of the Planted Random Subgraph Problem
by: Bogdanov, Andrej, et al.
Published: (2024)
by: Bogdanov, Andrej, et al.
Published: (2024)
High-Dimensional Gaussian Mean Estimation under Realizable Contamination
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Entangled Mean Estimation in High-Dimensions
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
On the Hardness of Learning One Hidden Layer Neural Networks
by: Li, Shuchen, et al.
Published: (2024)
by: Li, Shuchen, et al.
Published: (2024)
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
Batch List-Decodable Linear Regression via Higher Moments
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
by: Diakonikolas, Ilias, et al.
Published: (2022)
by: Diakonikolas, Ilias, et al.
Published: (2022)
Robust Sparse Mean Estimation via Sum of Squares
by: Diakonikolas, Ilias, et al.
Published: (2022)
by: Diakonikolas, Ilias, et al.
Published: (2022)
Robust Regression with Adaptive Contamination in Response: Optimal Rates and Computational Barriers
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
Replicable Learning of Large-Margin Halfspaces
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
Similar Items
-
Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
by: Kalavasis, Alkis, et al.
Published: (2026) -
Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond
by: Kalavasis, Alkis, et al.
Published: (2025) -
Linear Regression with Unknown Truncation Beyond Gaussian Features
by: Kouridakis, Alexandros, et al.
Published: (2026) -
Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
by: Kalavasis, Alkis, et al.
Published: (2026) -
DDPM Score Matching and Distribution Learning
by: Chewi, Sinho, et al.
Published: (2025)