Showing 1–20 of 49 results
/ Date/ Name
Jan 26, 2015Simultaneous diagonalization: the asymmetric, low-rank, and noisy settingsDec 8, 2021Online Calibrated and Conformal Prediction Improves Bayesian OptimizationAug 2, 2017Audio Super Resolution using Neural NetworksJul 1, 2018Accurate Uncertainties for Deep Learning Using Calibrated RegressionNov 7, 2017Neural Variational Inference and Learning in Undirected Graphical ModelsJul 13, 2016Estimating Uncertainty Online Against an AdversaryDec 12, 2021Quantifying and Understanding Adversarial Examples in Discrete Input SpacesFeb 25, 2014Algorithms for multi-armed bandit problemsDec 14, 2021Calibrated and Sharp Uncertainties in Deep Learning via Density EstimationSep 14, 2019Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise ModulationsMay 30, 2022Backpropagation through Combinatorial Algorithms: Identity with Projection WorksJun 12, 2025The Diffusion DualityJul 23, 2025Probabilistic Graphical Models: A Concise TutorialSep 25, 2025d2: Improved Techniques for Training Reasoning Diffusion Language ModelsMay 24, 2022Semi-Parametric Inducing Point Networks and Neural ProcessesOct 17, 2022Regularized Data Programming with Automated Bayesian Prior SelectionOct 16, 2022Model Criticism for Long-Form Text GenerationJun 14, 2022Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing FlowsOct 10, 2023Text Embeddings Reveal (Almost) As Much As TextOct 25, 2023CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images