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Optimization

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Delay as Payoff in MAB AAAI 2025
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025
Multi-Label Ranking Loss Minimization for Matrix Completion AAAI 2025
GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints ACL 2025
Online and Streaming Algorithms for Constrained k-Submodular Maximization AAAI 2025
De-singularity Subgradient for the q-th-Powered lâ‚š-Norm Weber Location Problem AAAI 2025
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training ACL 2025
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent AAAI 2025
Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition AAAI 2025
ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning ICCV 2025
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally AAAI 2025
Taming LLMs with Gradient Grouping ACL 2025
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations AAAI 2025
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment ACL 2025
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling ACL 2025
List Update with Prediction AAAI 2025
Towards Trustworthy, Efficient, and Scalable Machine Learning AAAI 2025
Acoustic-to-Hyper-Spectral: Hyper-Spectral Image Construction from Frequency Spectrums Through Simulated Annealing (Student Abstract) AAAI 2025
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization ACL 2025
Causal Discovery by Interventions via Integer Programming AAAI 2025
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models AAAI 2025
SHA256 at SemEval-2025 Task 4: Selective Amnesia – Constrained Unlearning for Large Language Models via Knowledge Isolation ACL 2025
Optimized Random Features for the Neural Tangent Kernel (Student Abstract) AAAI 2025
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework AAAI 2025
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance AAAI 2025