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- Incremental Intervention Effects in Studies with Dropout and Many Timepoints - 1907.04004
- Theory of Weak Identification in Semiparametric Models - 1908.10478
- Machine Learning-Based Adaptive Receive Filtering: Proof-of-Concept on an SDR Platform - 1911.04291
- Robust Learning-based Predictive Control for Discrete-time Nonlinear Systems with Unknown Dynamics and State Constraints - 1911.09827
- Robust Aggregation for Federated Learning - 1912.13445
- A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data - 2001.04867
- SGLB: Stochastic Gradient Langevin Boosting - 2001.07248
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- Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks - 2003.08414
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- A Hierarchical Integrative Group LASSO (HiGLASSO) Framework for Analyzing Environmental Mixtures - 2003.12844
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- M2: Mixed Models with Preferences, Popularities and Transitions for Next-Basket Recommendation - 2004.01646
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- Spatial Matrix Completion for Spatially-Misaligned and High-Dimensional Air Pollution Data - 2004.05443
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- Finite Sample Theory for High-Dimensional Functional/Scalar Time Series with Applications - 2004.07781
- Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: Evidence from Bayesian model averaging - 2004.07947
- Incorporating Multiple Cluster Centers for Multi-Label Learning - 2004.08113
- Zig-zag sampling for discrete structures and non-reversible phylogenetic MCMC - 2004.08807
- TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism - 2004.10856
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- Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity - 2004.12908
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- Marginal likelihood computation for model selection and hypothesis testing: an extensive review - 2005.08334
- Effective Learning of a GMRF Mixture Model - 2005.09030
- A modified weighted log-rank test for confirmatory trials with a high proportion of treatment switching - 2005.09213
- Interacting with Explanations through Critiquing - 2005.11067
- Response and Uncertainty of the Parabolic Variance PVAR to Non-Integer Exponents of the Power Law - 2005.13631
- Improving Disentangled Text Representation Learning with Information-Theoretic Guidance - 2006.00693
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- Physics Informed Deep Kernel Learning - 2006.04976
- A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descent - 2006.05013
- Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification - 2006.06098
- The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems - 2006.07856
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- Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks - 2006.09313
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- Embodied Self-supervised Learning by Coordinated Sampling and Training - 2006.13350
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- Online 3D Bin Packing with Constrained Deep Reinforcement Learning - 2006.14978
- Real-Time Real Economic Activity: Entering and Exiting the Pandemic Recession of 2020 - 2006.15183
- Simulation and Optimisation of Air Conditioning Systems using Machine Learning - 2006.15296
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- Kendall transformation: a robust representation of continuous data for information theory - 2006.15991
- Neural Network Middle-Term Probabilistic Forecasting of Daily Power Consumption - 2006.16388
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- Online Regularization towards Always-Valid High-Dimensional Dynamic Pricing - 2007.02470
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks - 2007.02901
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- DS-Sync: Addressing Network Bottlenecks with Divide-and-Shuffle Synchronization for Distributed DNN Training - 2007.03298
- Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments - 2007.03973
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- Extended Stochastic Block Models with Application to Criminal Networks - 2007.08569
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- Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context - 2007.08911
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