Optimization & Theory

One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments ACL 2025 Online Curvature-Aware Replay: Leveraging $\mathbf2^nd$ Order Information for Online Continual Learning ICML 2025 On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025 On Relation-Specific Neurons in Large Language Models EMNLP 2025 On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality ICLR 2025 On the Asymptotic Mean Square Error Optimality of Diffusion Models AISTATS 2025 On the Computational Tractability of the (Many) Shapley Values AISTATS 2025 On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning ICML 2025 On the Expressive Power of Sparse Geometric MPNNs ICLR 2025 On the Geometry and Optimization of Polynomial Convolutional Networks AISTATS 2025 On the Hardness of Training Deep Neural Networks Discretely AAAI 2025 On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent ICLR 2025 On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm JMLR 2025 OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection CVPR 2025 OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework EMNLP 2025 Open Universal Arabic ASR Leaderboard Interspeech 2025 OPTAMI: Global Superlinear Convergence of High-order Methods ICLR 2025 OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation CVPR 2025 Optimal Distributed Training With Co-Adaptive Data Parallelism in Heterogeneous Environments IJCAI 2025 Optimization before Evaluation: Evaluation with Unoptimized Prompts Can be Misleading ACL 2025 Optimized Gradient Clipping for Noisy Label Learning AAAI 2025 Optimizing for the Shortest Path in Denoising Diffusion Model CVPR 2025 Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives AISTATS 2025 Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction AAAI 2025 Optimizing Trajectory Matching Distillation via Parameter Difference-Driven Pruning ACML 2025