Mathematics & Optimization

Meta-Black-Box-Optimization through Offline Q-function Learning ICML 2025 Meta-Learning for Adaptive Control with Automated Mirror Descent L4DC 2025 MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters ICML 2025 MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions AAAI 2025 Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity ICLR 2025 Metric Clustering and Graph Optimization Problems using Weak Comparison Oracles COLT 2025 Metric Convolutions: A Unifying Theory to Adaptive Image Convolutions ICCV 2025 MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product ICML 2025 Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams COLT 2025 MGSfM: Multi-Camera Geometry Driven Global Structure-from-Motion ICCV 2025 M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling AISTATS 2025 MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space ACL 2025 MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times UAI 2025 Minimal Evidence Group Identification for Claim Verification NAACL 2025 Minimalistic Predictions for Online Class Constraint Scheduling ICLR 2025 Minimax-optimal and Locally-adaptive Online Nonparametric Regression ALT 2025 Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps UAI 2025 Minimax Optimal Two-Sample Testing under Local Differential Privacy JMLR 2025 Minimizing Polarization and Disagreement in the Friedkin–Johnsen Model with Unknown Innate Opinions IJCAI 2025 Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding NAACL 2025 Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality (Extended Abstract) COLT 2025 Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity JMLR 2025 Mixture of Online and Offline Experts for Non-Stationary Time Series AAAI 2025 MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025 Modeling Bottom-up Information Quality during Language Processing EMNLP 2025