Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond
Fuente:
arXiv
Saved in:
| Main Authors: | Kalavasis, Alkis, Mehrotra, Anay, Zhou, Felix |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Linear Regression with Unknown Truncation Beyond Gaussian Features
by: Kouridakis, Alexandros, et al.
Published: (2026)
by: Kouridakis, Alexandros, et al.
Published: (2026)
Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
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)
Transfer Learning Beyond Bounded Density Ratios
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
On Characterizations for Language Generation: Interplay of Hallucinations, Breadth, and Stability
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
Efficient Parameter Estimation of Truncated Boolean Product Distributions
by: Fotakis, Dimitris, et al.
Published: (2020)
by: Fotakis, Dimitris, et al.
Published: (2020)
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)
Smoothed Analysis of Learning from Positive Samples
by: Lee, Jane H., et al.
Published: (2025)
by: Lee, Jane H., et al.
Published: (2025)
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)
What is Learnable in Valiant's Theory of the Learnable?
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion
by: Mehrotra, Anay, et al.
Published: (2026)
by: Mehrotra, Anay, et al.
Published: (2026)
Sample-Efficient Linear Regression with Self-Selection Bias
by: Gaitonde, Jason, et al.
Published: (2024)
by: Gaitonde, Jason, et al.
Published: (2024)
Replicable Learning of Large-Margin Halfspaces
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, 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)
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening
by: Kalavasis, Alkis, et al.
Published: (2024)
by: Kalavasis, Alkis, et al.
Published: (2024)
Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error
by: Pittas, Thanasis, et al.
Published: (2024)
by: Pittas, Thanasis, et al.
Published: (2024)
Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
by: Kalavasis, Alkis, et al.
Published: (2026)
by: Kalavasis, Alkis, et al.
Published: (2026)
Nearly Optimal Robust Covariance and Scatter Matrix Estimation Beyond Gaussians
by: Novikov, Gleb
Published: (2025)
by: Novikov, Gleb
Published: (2025)
On the hardness of learning under symmetries
by: Kiani, Bobak T., et al.
Published: (2024)
by: Kiani, Bobak T., et al.
Published: (2024)
Fast parallel sampling under isoperimetry
by: Anari, Nima, et al.
Published: (2024)
by: Anari, Nima, et al.
Published: (2024)
Linear Regression under Missing or Corrupted Coordinates
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Almost-Optimal Local-Search Methods for Sparse Tensor PCA
by: Lovig, Max, et al.
Published: (2025)
by: Lovig, Max, et al.
Published: (2025)
Separating Oblivious and Adaptive Models of Variable Selection
by: Chen, Ziyun, et al.
Published: (2026)
by: Chen, Ziyun, et al.
Published: (2026)
High-Dimensional Gaussian Mean Estimation under Realizable Contamination
by: Diakonikolas, Ilias, et al.
Published: (2026)
by: Diakonikolas, Ilias, et al.
Published: (2026)
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)
Perspectives on Stochastic Localization
by: Shi, Bobby, et al.
Published: (2025)
by: Shi, Bobby, et al.
Published: (2025)
Functional Stochastic Localization
by: Gu, Anming, et al.
Published: (2026)
by: Gu, Anming, et al.
Published: (2026)
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
by: Cai, Yang, et al.
Published: (2025)
by: Cai, Yang, et al.
Published: (2025)
Language Generation with Infinite Contamination
by: Mehrotra, Anay, et al.
Published: (2025)
by: Mehrotra, Anay, et al.
Published: (2025)
Differentially Private Language Generation and Identification in the Limit
by: Mehrotra, Anay, et al.
Published: (2026)
by: Mehrotra, Anay, et al.
Published: (2026)
Nonlinear Laplacians: Tunable principal component analysis under directional prior information
by: Ma, Yuxin, et al.
Published: (2025)
by: Ma, Yuxin, et al.
Published: (2025)
Computational and statistical lower bounds for low-rank estimation under general inhomogeneous noise
by: De, Debsurya, et al.
Published: (2025)
by: De, Debsurya, et al.
Published: (2025)
Batch List-Decodable Linear Regression via Higher Moments
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Fast Tensor Completion via Approximate Richardson Iteration
by: Ghadiri, Mehrdad, et al.
Published: (2025)
by: Ghadiri, Mehrdad, 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)
One-Shot Learning for k-SAT
by: Galanis, Andreas, et al.
Published: (2025)
by: Galanis, Andreas, et al.
Published: (2025)
Improved Margin Generalization Bounds for Voting Classifiers
by: Høgsgaard, Mikael Møller, et al.
Published: (2025)
by: Høgsgaard, Mikael Møller, et al.
Published: (2025)
Sparse Linear Regression is Easy on Random Supports
by: Chandrasekaran, Gautam, et al.
Published: (2025)
by: Chandrasekaran, Gautam, et al.
Published: (2025)
Online Conformal Prediction with Efficiency Guarantees
by: Srinivas, Vaidehi
Published: (2025)
by: Srinivas, Vaidehi
Published: (2025)
Similar Items
-
Linear Regression with Unknown Truncation Beyond Gaussian Features
by: Kouridakis, Alexandros, et al.
Published: (2026) -
Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
by: Kalavasis, Alkis, et al.
Published: (2026) -
DDPM Score Matching and Distribution Learning
by: Chewi, Sinho, et al.
Published: (2025) -
Transfer Learning Beyond Bounded Density Ratios
by: Kalavasis, Alkis, et al.
Published: (2024) -
On Characterizations for Language Generation: Interplay of Hallucinations, Breadth, and Stability
by: Kalavasis, Alkis, et al.
Published: (2024)