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Bin Yu

57 papers · 2006–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer πŸƒ Academic Marathon (19) 🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (25) 🌟 Keyword Trendsetter Combo (5) 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (14) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ’Ž Century Club (56) πŸ—ƒοΈ Keyword Collector (94) πŸ”₯ Unstoppable (8)

Conferences

JMLR (18) ICML (10) NIPS (9) ICLR (6) AISTATS (3) COLING (2) COLT (2) CVPR (2) AAAI (1) ACL (1) ICCV (1) INTERSPEECH (1) WACV (1)

Top co-authors

Martin J. Wainwright (10) Chandan Singh (7) Raaz Dwivedi (7) Yuansi Chen (5) Garvesh Raskutti (5) Jianfeng Gao (5) Jinqiao Wang (4) Nikhil Ghosh (4) Ming Tang (4) Abhineet Agarwal (4)

Research topics

Statistics (2)

Keywords

kernel methods (5) mixing time (4) model selection (4) feature selection (4) gradient descent (4) sparse regression (3) random forest (3) markov chain monte carlo (3) convergence rate (3) nonparametric regression (3) visual tracking (2) reproducing kernel hilbert space (2) importance sampling (2) high-dimensional statistics (2) feature importance (2) neural network optimization (2) sparse representation (2) dictionary learning (2) ridge regression (2) sparse learning (2)

Papers

T4NMTD: Transition-Centric Reinforcement Learning for Non-Markovian Task Decomposition AAAI 2026
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms JMLR 2025
Instability, Computational Efficiency and Statistical Accuracy JMLR 2025
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning JMLR 2025
Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression ICML 2025
MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES ICML 2025
SPEX: Scaling Feature Interaction Explanations for LLMs ICML 2025
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning COLING 2025
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition ICLR 2025
The Impact of Initialization on LoRA Finetuning Dynamics NIPS 2024
Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency COLT 2024
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance ICML 2024
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making ICLR 2024
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs ICLR 2024
Minimum-Norm Interpolation Under Covariate Shift ICML 2024
LoRA+: Efficient Low Rank Adaptation of Large Models ICML 2024
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining ICML 2024
Revisiting minimum description length complexity in overparameterized models JMLR 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond NIPS 2023
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. ICML 2022
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds AISTATS 2022
C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods ICLR 2022
Improve Speech Enhancement using Perception-High-Related Time-Frequency Loss INTERSPEECH 2022
Adaptive wavelet distillation from neural networks through interpretations NIPS 2021
Fast Kernelized Correlation Filter Without Boundary Effect WACV 2021
High-Performance Discriminative Tracking With Transformers ICCV 2021
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients JMLR 2020
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge ICML 2020
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models AISTATS 2020
Unique Sharp Local Minimum in L1-minimization Complete Dictionary Learning JMLR 2020
A Debiased MDI Feature Importance Measure for Random Forests NIPS 2019
Log-concave sampling: Metropolis-Hastings algorithms are fast JMLR 2019
Hierarchical interpretations for neural network predictions ICLR 2019
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs ICLR 2018
High-Speed Tracking With Multi-Kernel Correlation Filters CVPR 2018
Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT 2018
Local Identifiability of $\ell_1$-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition JMLR 2018
Fast MCMC Sampling Algorithms on Polytopes JMLR 2018
Supervised Neighborhoods for Distributed Nonparametric Regression AISTATS 2016
A Statistical Perspective on Algorithmic Leveraging JMLR 2015
Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2015
A Statistical Perspective on Algorithmic Leveraging ICML 2014
Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows JMLR 2013
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming JMLR 2012
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NIPS 2010
Restricted Eigenvalue Properties for Correlated Gaussian Designs JMLR 2010
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness NIPS 2009
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers NIPS 2009
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NIPS 2008
Stagewise Lasso JMLR 2007
Approximation Lasso Methods for Language Modeling COLING 2006
Approximation Lasso Methods for Language Modeling ACL 2006
Sparse Boosting JMLR 2006
On Model Selection Consistency of Lasso JMLR 2006