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Papers
Generalization Bounds and Model Complexity for Kolmogorov–Arnold Networks
ICLR 2025
Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
ICML 2025
In-Context Learning and Occam’s Razor
ICML 2025
Revisiting Learning Rate Control
AutoML 2025
The Local Learning Coefficient: A Singularity-Aware Complexity Measure
AISTATS 2025
EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks
AAAI 2024
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
ICML 2024
Scaling Law for Time Series Forecasting
NeurIPS 2024
SpeakerBeam-SS: Real-time Target Speaker Extraction with Lightweight Conv-TasNet and State Space Modeling
Interspeech 2024
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
CVPR 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions
ICML 2024
A Neural State-Space Modeling Approach to Efficient Speech Separation
Interspeech 2023
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
NeurIPS 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
NeurIPS 2023
Free Energy of Bayesian Convolutional Neural Network with Skip Connection
ACML 2023
Resource-Adaptive Federated Learning with All-In-One Neural Composition
NeurIPS 2022
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures
CVPR 2021
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning
ACML 2020
Efficient Neural Architecture Search via Proximal Iterations
AAAI 2020
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning
NeurIPS 2020
DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics
ICML 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
NeurIPS 2015
An Information Geometry of Statistical Manifold Learning
ICML 2014
Fast Rigid Motion Segmentation via Incrementally-Complex Local Models
CVPR 2013
Online Incremental Feature Learning with Denoising Autoencoders
AISTATS 2012