:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lin, Licong, Zrnic, Tijana
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2305.18728
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Note on the Prediction-Powered Bootstrap
by: Zrnic, Tijana
Published: (2024)

A Flexible Defense Against the Winner's Curse
by: Zrnic, Tijana, et al.
Published: (2024)

Cross-Prediction-Powered Inference
by: Zrnic, Tijana, et al.
Published: (2023)

Active Statistical Inference
by: Zrnic, Tijana, et al.
Published: (2024)

Robust Sampling for Active Statistical Inference
by: Li, Puheng, et al.
Published: (2025)

Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI
by: Ji, Wenlong, et al.
Published: (2025)

Probably Approximately Correct Labels
by: Candès, Emmanuel J., et al.
Published: (2025)

Look-Ahead Reasoning on Learning Platforms
by: Zhu, Haiqing, et al.
Published: (2025)

PPI++: Efficient Prediction-Powered Inference
by: Angelopoulos, Anastasios N., et al.
Published: (2023)

Valid Inference After Causal Discovery
by: Gradu, Paula, et al.
Published: (2022)

Algorithmic Collective Action in Machine Learning
by: Hardt, Moritz, et al.
Published: (2023)

Private Prediction Sets
by: Angelopoulos, Anastasios N., et al.
Published: (2021)

Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling
by: Kluger, Dan M., et al.
Published: (2025)

A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
by: Lin, Licong, et al.
Published: (2025)

Locally Simultaneous Inference
by: Zrnic, Tijana, et al.
Published: (2022)

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
by: Zhang, Ruiqi, et al.
Published: (2024)

Improved Scaling Laws in Linear Regression via Data Reuse
by: Lin, Licong, et al.
Published: (2025)

Semi-parametric inference based on adaptively collected data
by: Lin, Licong, et al.
Published: (2023)

Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
by: Lin, Licong, et al.
Published: (2023)

Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes
by: Zhang, Ruiqi, et al.
Published: (2025)

A Statistical Theory of Contrastive Pre-training and Multimodal Generative AI
by: Oko, Kazusato, et al.
Published: (2025)

Improving LLM Safety Alignment with Dual-Objective Optimization
by: Zhao, Xuandong, et al.
Published: (2025)

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
by: Fan, Chongyu, et al.
Published: (2024)

Cross-Validated Causal Inference: a Modern Method to Combine Experimental and Observational Data
by: Yang, Xuelin, et al.
Published: (2025)

Practical Validity Conditions for Byzantine-Tolerant Federated Learning
by: Cambus, Mélanie, et al.
Published: (2026)

PlugSI: Plug-and-Play Test-Time Graph Adaptation for Spatial Interpolation
by: Wu, Xuhang, et al.
Published: (2026)

Plug-and-Play Performance Estimation for LLM Services without Relying on Labeled Data
by: Wang, Can, et al.
Published: (2024)

Scaling Laws in Linear Regression: Compute, Parameters, and Data
by: Lin, Licong, et al.
Published: (2024)

A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization
by: Chu, Tianshu, et al.
Published: (2025)

A Simple Plug-in for Improving Eviction-Based KV Cache Compression
by: Lin, Yuping, et al.
Published: (2026)

Traditional machine learning vs. deep learning from dynamic graph representations of proteins' 3D folds in the task of protein structure classification
by: Wells, Aydin, et al.
Published: (2026)

Efficient Online RFT with Plug-and-Play LLM Judges: Unlocking State-of-the-Art Performance
by: Agnihotri, Rudransh, et al.
Published: (2025)

pADAM: A Plug-and-Play All-in-One Diffusion Architecture for Multi-Physics Learning
by: Mollaali, Amirhossein, et al.
Published: (2026)

Approximate Agreement Algorithms for Byzantine Collaborative Learning
by: Cambus, Mélanie, et al.
Published: (2025)

Centroid Approximation for Byzantine-Tolerant Federated Learning
by: Cambus, Mélanie, et al.
Published: (2025)

Plug-in estimation of Schrödinger bridges
by: Pooladian, Aram-Alexandre, et al.
Published: (2024)

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration
by: Serbest, Sanberk, et al.
Published: (2025)

Plug-and-Play Controllable Generation for Discrete Masked Models
by: Guo, Wei, et al.
Published: (2024)

360-LLaMA-Factory: Plug & Play Sequence Parallelism for Long Post-Training
by: Zou, Haosheng, et al.
Published: (2025)

A Novel Plug-and-Play Approach for Adversarially Robust Generalization
by: Maurya, Deepak, et al.
Published: (2022)