Optimization

Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction JMLR 2025 Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition AAAI 2025 Fast Convergence of $Φ$-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler ALT 2025 Fast Convergence of Softmax Policy Mirror Ascent AISTATS 2025 FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models EMNLP 2025 Faster Algorithms for Structured Linear and Kernel Support Vector Machines ICLR 2025 Faster Cascades via Speculative Decoding ICLR 2025 Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel ICLR 2025 Faster Double Adaptive Gradient Methods AAAI 2025 Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding EMNLP 2025 Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling ICLR 2025 Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching ICML 2025 Fast Globally Optimal and Geometrically Consistent 3D Shape Matching ICCV 2025 Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm IJCAI 2025 Fast Non-convex Matrix Sensing with Optimal Sample Complexity UAI 2025 Fast, Not Fancy: Rethinking G2P with Rich Data and Statistical Models EMNLP 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition IJCAI 2025 Fast Tensor Completion via Approximate Richardson Iteration ICML 2025 FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency AAAI 2025 FB-RAG: Improving RAG with Forward and Backward Lookup IJCNLP 2025 FDGen: A Fairness-Aware Graph Generation Model ICML 2025 FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation ACL 2025 Feasible Learning AISTATS 2025 FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation ICML 2025 Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions ICML 2025