Cover Image

Algorithm Configuration for Structured Pfaffian Settings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Balcan, Maria-Florina, Nguyen, Anh Tuan, Sharma, Dravyansh
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
by: Balcan, Maria-Florina, et al.
Published: (2025)

Learning accurate and interpretable tree-based models
by: Balcan, Maria-Florina, et al.
Published: (2024)

Distribution-dependent Generalization Bounds for Tuning Linear Regression Across Tasks
by: Balcan, Maria-Florina, et al.
Published: (2025)

Accelerating ERM for data-driven algorithm design using output-sensitive techniques
by: Balcan, Maria-Florina, et al.
Published: (2022)

Subsidy design for better social outcomes
by: Balcan, Maria-Florina, et al.
Published: (2024)

Reward Learning from Best-of-$N$ Preference Data: Targets, Tradeoffs, and Design Principles
by: Pukdee, Rattana, et al.
Published: (2026)

Provably tuning the ElasticNet across instances
by: Balcan, Maria-Florina, et al.
Published: (2022)

On Learning Verifiers and Implications to Chain-of-Thought Reasoning
by: Balcan, Maria-Florina, et al.
Published: (2025)

Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
by: Khodak, Mikhail, et al.
Published: (2023)

Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs
by: Balcan, Maria-Florina, et al.
Published: (2026)

Divide and Refine: Enhancing Multimodal Representation and Explainability for Emotion Recognition in Conversation
by: Mai, Anh-Tuan, et al.
Published: (2026)

Learning in Structured Stackelberg Games
by: Balcan, Maria-Florina, et al.
Published: (2025)

The Active and Noise-Tolerant Strategic Perceptron
by: Balcan, Maria-Florina, et al.
Published: (2025)

New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs
by: Balcan, Maria-Florina, et al.
Published: (2023)

Upper Entropy for 2-Monotone Lower Probabilities
by: Vu, Tuan-Anh, et al.
Published: (2026)

Gradient Descent with Provably Tuned Learning-rate Schedules
by: Sharma, Dravyansh
Published: (2025)

The Algorithm Configuration Problem
by: Iommazzo, Gabriele, et al.
Published: (2024)

What Does Preference Learning Recover from Pairwise Comparison Data?
by: Pukdee, Rattana, et al.
Published: (2026)

FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection
by: Nguyen, Van Tuan, et al.
Published: (2024)

Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization
by: Xu, Huimin, et al.
Published: (2026)

Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024)

RePCS: Diagnosing Data Memorization in LLM-Powered Retrieval-Augmented Generation
by: Anh, Le Vu, et al.
Published: (2025)

From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach
by: Nguyen, Tuan, et al.
Published: (2023)

Minimizing Collateral Damage in Activation Steering
by: Nguyen, Tam, et al.
Published: (2026)

Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)

Probe-Free Low-Rank Activation Intervention
by: Jiang, Chonghe, et al.
Published: (2025)

On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting
by: Yoshikawa, Takushi, et al.
Published: (2024)

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs
by: Nguyen, Anh, et al.
Published: (2025)

Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
by: Nguyen, Khai, et al.
Published: (2025)

Robust SDE Parameter Estimation Under Missing Time Information Setting
by: Van Tran, Long, et al.
Published: (2026)

Mining--Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling
by: Banerjee, Chayan, et al.
Published: (2025)

Towards the TopMost: A Topic Modeling System Toolkit
by: Wu, Xiaobao, et al.
Published: (2023)

Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
by: Ngo, Giang, et al.
Published: (2024)

Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
by: Zhao, Weiye, et al.
Published: (2024)

Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
by: Du, Ally Yalei, et al.
Published: (2025)

$i$REPO: $i$mplicit Reward Pairwise Difference based Empirical Preference Optimization
by: Le, Long Tan, et al.
Published: (2024)

Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)

Structured Exploration and Exploitation of Label Functions for Automated Data Annotation
by: Lam, Phong, et al.
Published: (2026)

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
by: Wu, Haochen, et al.
Published: (2023)

Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization
by: Nguyen, Anh B. H., et al.
Published: (2026)