Works matching IS 15324435 AND DT 2023 AND VI 24
Results: 393
Scaling Up Models and Data with t5x and seqio.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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On the Dynamics Under the Unhinged Loss and Beyond.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Set-valued Classification with Out-of-distribution Detection for Many Classes.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Principled Out-of-Distribution Detection via Multiple Testing.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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A Unified Approach to Controlling Implicit Regularization via Mirror Descent.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Adaptive Learning of Density Ratios in RKHS.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Revisiting inference after prediction.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Bagging in overparameterized learning: Risk characterization and risk monotonization.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Instance-Dependent Confidence and Early Stopping for Reinforcement Learning.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Hierarchical Kernels in Deep Kernel Learning.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Operator learning with PCA-Net: upper and lower complexity bounds.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Mixed Regression via Approximate Message Passing.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Multilevel CNNs for Parametric PDEs.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Fairlearn: Assessing and Improving Fairness of AI Systems.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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MARLlib: A Scalable and Efficient Library For Multi-agent Reinforcement Learning.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Densely Connected G-invariant Deep Neural Networks with Signed Permutation Representations.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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A Permutation-Free Kernel Independence Test.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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TorchOpt: An Efficient Library for Differentiable Optimization.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Confidence and Uncertainty Assessment for Distributional Random Forests.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Hard-Constrained Deep Learning for Climate Downscaling.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Semiparametric Inference Using Fractional Posteriors.
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Discovering Salient Neurons in deep NLP models.
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Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Fourier Neural Operator with Learned Deformations for PDEs on General Geometries.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Avalanche: A PyTorch Library for Deep Continual Learning.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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skrl: Modular and Flexible Library for Reinforcement Learning.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Differentially Private Hypothesis Testing for Linear Regression.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Attribution-based Explanations that Provide Recourse Cannot be Robust.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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A Unified Theory of Diversity in Ensemble Learning.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Adaptive False Discovery Rate Control with Privacy Guarantee.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Atlas: Few-shot Learning with Retrieval Augmented Language Models.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Optimal Parameter-Transfer Learning by Semiparametric Model Averaging.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev and Besov Spaces.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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MAUVE Scores for Generative Models: Theory and Practice.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Zeroth-Order Alternating Gradient Descent Ascent gorithms for A Class of Nonconvex-Nonconcave Minimax Problems.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Convex Reinforcement Learning in Finite Trials.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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The Measure and Mismeasure of Fairness.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Dimension Reduction and MARS.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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Beyond the Golden Ratio for Variational Inequality Algorithms.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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