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Papers
Adapting to Evolving Adversaries with Regularized Continual Robust Training
ICML 2025
BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation
ICML 2025
FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
ICML 2025
Generalized additive models via direct optimization of regularized decision stump forests
ICML 2025
Grokking Beyond the Euclidean Norm of Model Parameters
ICML 2025
Knowledge-Guided Wasserstein Distributionally Robust Optimization
ICML 2025
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
ICML 2025
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
ICML 2025
Model Immunization from a Condition Number Perspective
ICML 2025
MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification
ICML 2025
Regularized Langevin Dynamics for Combinatorial Optimization
ICML 2025
Scalable Sobolev IPM for Probability Measures on a Graph
ICML 2025
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
ICML 2025
Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training
ICML 2025
Towards the Causal Complete Cause of Multi-Modal Representation Learning
ICML 2025
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
ICML 2025
A Statistical Theory of Regularization-Based Continual Learning
ICML 2024
Dealing With Unbounded Gradients in Stochastic Saddle-point Optimization
ICML 2024
Decoding-time Realignment of Language Models
ICML 2024
Discounted Adaptive Online Learning: Towards Better Regularization
ICML 2024
Fast Decision Boundary based Out-of-Distribution Detector
ICML 2024
Improved Operator Learning by Orthogonal Attention
ICML 2024
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
ICML 2024
MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data
ICML 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
ICML 2024