:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jiang, Enyi, Zhang, Yibo Jacky, Koyejo, Sanmi
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2302.05049
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency
by: Zhang, Yibo Jacky, et al.
Published: (2026)

Latent Adversarial Regularization for Offline Preference Optimization
by: Jiang, Enyi, et al.
Published: (2026)

A Framework for Objective-Driven Dynamical Stochastic Fields
by: Zhang, Yibo Jacky, et al.
Published: (2025)

Causally Inspired Regularization Enables Domain General Representations
by: Salaudeen, Olawale, et al.
Published: (2024)

Aligning Compound AI Systems via System-level DPO
by: Wang, Xiangwen, et al.
Published: (2025)

Let's Measure Information Step-by-Step: AI-Based Evaluation Beyond Vibes
by: Robertson, Zachary, et al.
Published: (2025)

Proxy Methods for Domain Adaptation
by: Tsai, Katherine, et al.
Published: (2024)

Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?
by: Salaudeen, Olawale, et al.
Published: (2025)

Invariant Aggregator for Defending against Federated Backdoor Attacks
by: Wang, Xiaoyang, et al.
Published: (2022)

Optimization and Generalization Guarantees for Weight Normalization
by: Cisneros-Velarde, Pedro, et al.
Published: (2024)

Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings
by: Peetathawatchai, Pura, et al.
Published: (2024)

In-Context Learning of Energy Functions
by: Schaeffer, Rylan, et al.
Published: (2024)

Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains
by: Stromberg, Nathan, et al.
Published: (2024)

Discovering Implicit Large Language Model Alignment Objectives
by: Chen, Edward, et al.
Published: (2026)

Distributional Machine Unlearning via Selective Data Removal
by: Allouah, Youssef, et al.
Published: (2025)

On Fairness of Low-Rank Adaptation of Large Models
by: Ding, Zhoujie, et al.
Published: (2024)

Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading
by: Stromberg, Nathan, et al.
Published: (2024)

High-Dimensional Markov-switching Ordinary Differential Processes
by: Tsai, Katherine, et al.
Published: (2024)

Reasoning Models Don't Just Think Longer, They Move Differently
by: Gjølbye, Anders, et al.
Published: (2026)

Pretraining Scaling Laws for Generative Evaluations of Language Models
by: Schaeffer, Rylan, et al.
Published: (2025)

HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
by: Zhu, Junzhe, et al.
Published: (2023)

Adaptive Compression in Federated Learning via Side Information
by: Isik, Berivan, et al.
Published: (2023)

Why Do Safety Guardrails Degrade Across Languages?
by: Zhang, Max, et al.
Published: (2026)

RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness
by: Jiang, Enyi, et al.
Published: (2024)

Lean-ing on Quality: How High-Quality Data Beats Diverse Multilingual Data in AutoFormalization
by: Chan, Willy, et al.
Published: (2025)

The Utility and Complexity of in- and out-of-Distribution Machine Unlearning
by: Allouah, Youssef, et al.
Published: (2024)

Logits are All We Need to Adapt Closed Models
by: Hiranandani, Gaurush, et al.
Published: (2025)

Environment-Adaptive Preference Optimization for Wildfire Prediction
by: Jiang, Enyi, et al.
Published: (2026)

Position: Model Collapse Does Not Mean What You Think
by: Schaeffer, Rylan, et al.
Published: (2025)

Extracting books from production language models
by: Ahmed, Ahmed, et al.
Published: (2026)

Certified Unlearning for Neural Networks
by: Koloskova, Anastasia, et al.
Published: (2025)

Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds
by: Chen, Edward, et al.
Published: (2025)

AutoAdapt: An Automated Domain Adaptation Framework for LLMs
by: Sinha, Sidharth, et al.
Published: (2026)

Understanding Adversarial Transfer: Why Representation-Space Attacks Fail Where Data-Space Attacks Succeed
by: Gupta, Isha, et al.
Published: (2025)

Scalable Ensembling For Mitigating Reward Overoptimisation
by: Ahmed, Ahmed M., et al.
Published: (2024)

Towards Generalized Certified Robustness with Multi-Norm Training
by: Jiang, Enyi, et al.
Published: (2024)

Reliable and Efficient Amortized Model-based Evaluation
by: Truong, Sang, et al.
Published: (2025)

Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
by: Mori, Junki, et al.
Published: (2024)

PEANuT: Parameter-Efficient Adaptation with Weight-aware Neural Tweakers
by: Zhong, Yibo, et al.
Published: (2024)

Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation
by: Haupt, Andreas, et al.
Published: (2026)