:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Lirui, Suzuki, Joe
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2402.12762
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Asymptotic Equation Linking WAIC and WBIC in Singular Models
by: Hayashi, Naoki, et al.
Published: (2025)

Non-Stationary Dueling Bandits Under a Weighted Borda Criterion
by: Suk, Joe, et al.
Published: (2024)

Estimation of the Learning Coefficient Using Empirical Loss
by: Takio, Tatsuyoshi, et al.
Published: (2025)

An Efficient Procedure for Computing Bayesian Network Structure Learning
by: Huang, Hongming, et al.
Published: (2024)

The Interpolating Information Criterion for Overparameterized Models
by: Hodgkinson, Liam, et al.
Published: (2023)

De-Anonymization at Scale via Tournament-Style Attribution
by: Zhang, Lirui, et al.
Published: (2026)

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression
by: Wang, Lirui, et al.
Published: (2025)

SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning
by: Luo, Lirui, et al.
Published: (2026)

Robot Fleet Learning via Policy Merging
by: Wang, Lirui, et al.
Published: (2023)

Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study
by: Zhao, Lirui, et al.
Published: (2023)

Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
by: Wang, Lirui, et al.
Published: (2024)

PoCo: Policy Composition from and for Heterogeneous Robot Learning
by: Wang, Lirui, et al.
Published: (2024)

Order Selection in Vector Autoregression by Mean Square Information Criterion
by: Hellstern, Michael, et al.
Published: (2025)

Percentile Criterion Optimization in Offline Reinforcement Learning
by: Lobo, Elita A., et al.
Published: (2024)

An Information Criterion for Controlled Disentanglement of Multimodal Data
by: Wang, Chenyu, et al.
Published: (2024)

An Information-Theoretic Criterion for Efficient Data Synthesis
by: Li, Hanyu, et al.
Published: (2026)

Constrained Multi-Objective Reinforcement Learning with Max-Min Criterion
by: Park, Giseung, et al.
Published: (2026)

Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks
by: Zhao, Jialiang, et al.
Published: (2024)

Dropout Drops Double Descent
by: Yang, Tian-Le, et al.
Published: (2023)

Beyond Accuracy and Complexity: The Effective Information Criterion for Structurally Stable Symbolic Regression
by: Yu, Zihan, et al.
Published: (2025)

Dual-Criterion Curriculum Learning: Application to Temporal Data
by: Abel, Gaspard, et al.
Published: (2026)

Interpretable Clustering with the Distinguishability Criterion
by: Turfah, Ali, et al.
Published: (2024)

Criterion Collapse and Loss Distribution Control
by: Holland, Matthew J.
Published: (2024)

Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization
by: Iyengar, Garud, et al.
Published: (2023)

Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion
by: Shaik, Thanveer, et al.
Published: (2023)

Spacing Test for Fused Lasso
by: Tasaka, Rieko, et al.
Published: (2025)

Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality
by: Zhang, Haizhou, et al.
Published: (2024)

Generalization of LiNGAM that allows confounding
by: Suzuki, Joe, et al.
Published: (2024)

Physics Inspired Criterion for Pruning-Quantization Joint Learning
by: Xie, Weiying, et al.
Published: (2023)

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
by: Silander, Tomi, et al.
Published: (2024)

Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning
by: Rukhovich, Alexey, et al.
Published: (2025)

Restricted Minimum Error Entropy Criterion for Robust Classification
by: Li, Yuanhao, et al.
Published: (2019)

Geometry of Singular Foliations and Learning Manifolds in ReLU Networks via the Data Information Matrix
by: Tron, Eliot, et al.
Published: (2024)

MVR: Multi-view Video Reward Shaping for Reinforcement Learning
by: Luo, Lirui, et al.
Published: (2026)

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
by: Chen, Yihang, et al.
Published: (2024)

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
by: Lin, Yingyu, et al.
Published: (2024)

Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift
by: Park, Heewon, et al.
Published: (2026)

A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints
by: Munn, Michael, et al.
Published: (2024)

Interventional Imbalanced Multi-Modal Representation Learning via $β$-Generalization Front-Door Criterion
by: Li, Yi, et al.
Published: (2024)

Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
by: Byeon, Woohyeon, et al.
Published: (2025)