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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise ICML 2024 Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance AAAI 2024 Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs NeurIPS 2024 Bandit Pareto Set Identification: the Fixed Budget Setting AISTATS 2024 Bandits with Ranking Feedback NeurIPS 2024 BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction CVPR 2024 Barely Random Algorithms and Collective Metrical Task Systems NeurIPS 2024 Barrier Algorithms for Constrained Non-Convex Optimization ICML 2024 B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data NeurIPS 2024 Base Models for Parabolic Partial Differential Equations UAI 2024 Batched Energy-Entropy acquisition for Bayesian Optimization NeurIPS 2024 Bayesian Adaptive Calibration and Optimal Design NeurIPS 2024 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NeurIPS 2024 Bayesian Optimization of Function Networks with Partial Evaluations ICML 2024 Bayesian Optimization of Functions over Node Subsets in Graphs NeurIPS 2024 Bayesian Regret Minimization in Offline Bandits ICML 2024 Bayes-optimal learning of an extensive-width neural network from quadratically many samples NeurIPS 2024 BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence AAAI 2024 Beating Price of Anarchy and Gradient Descent without Regret in Potential Games ICLR 2024 Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding IJCAI 2024 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NeurIPS 2024 Best Arm Identification for Stochastic Rising Bandits ICML 2024 Best-of-Both-Worlds Algorithms for Linear Contextual Bandits AISTATS 2024 Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization ICML 2024 Better Locally Private Sparse Estimation Given Multiple Samples Per User ICML 2024