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Papers
Unsupervised Feature Selection Through Group Discovery
AAAI 2026
Joint Reference Microphone Selection and Filter Order Determination in Multi-channel Active Noise Control
Interspeech 2025
A minimax optimal approach to high-dimensional double sparse linear regression
JMLR 2024
High-dimensional (Group) Adversarial Training in Linear Regression
NeurIPS 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
CVPR 2024
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training
CVPR 2024
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity
JMLR 2023
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization
AISTATS 2023
Implicit Regularization for Group Sparsity
ICLR 2023
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
ICLR 2023
Bottleneck Low-rank Transformers for Low-resource Spoken Language Understanding
Interspeech 2022
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
NeurIPS 2020
Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models
IJCAI 2020
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality
ICLR 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
CVPR 2020
Robust Multi-View Representation Learning (Student Abstract)
AAAI 2020
Fast and Robust Multi-View Multi-Task Learning via Group Sparsity
IJCAI 2019
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
ICLR 2019
Improving Sparse Representations in Exemplar-Based Voice Conversion with a Phoneme-Selective Objective Function
Interspeech 2018
Combined Group and Exclusive Sparsity for Deep Neural Networks
ICML 2017
Group Sparse CNNs for Question Classification with Answer Sets
ACL 2017
Inverse Covariance Estimation with Structured Groups
IJCAI 2017
k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms
NeurIPS 2017
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity
ICML 2017
Adaptive Group Sparsity for Non-Negative Matrix Factorization with Application to Unsupervised Source Separation
Interspeech 2016