Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraintsby Jiabin Lin, Shana…
Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networksby Hossein Rajoli, Pouya Afshin, Fatemeh…
Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Regret Analysisby Sharu Theresa Jose,…
Understanding the Generalization Benefits of Late Learning Rate Decayby Yinuo Ren, Chao Ma, Lexing YingFirst…
Differentially-Private Multi-Tier Federated Learningby Evan Chen, Frank Po-Chen Lin, Dong-Jun Han, Christopher G. BrintonFirst submitted…
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformersby Katherine Crowson, Stefan Andreas Baumann, Alex…
Graph Edits for Counterfactual Explanations: A comparative studyby Angeliki Dimitriou, Nikolaos Chaidos, Maria Lymperaiou, Giorgos…
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networksby Xihaier Luo, Wei Xu, Yihui…
Tight Verification of Probabilistic Robustness in Bayesian Neural Networksby Ben Batten, Mehran Hosseini, Alessio LomuscioFirst…
Freely Long-Thinking Transformer (FraiLT)by Akbay TabakFirst submitted to arxiv on: 21 Jan 2024CategoriesMain: Machine Learning…