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TitleStatusHype
Statistical Inference with Stochastic Gradient Methods under φ-mixing Data—0
Calibrated Regression Against An Adversary Without Regret—0
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments—0
Communication-Efficient Distributed Estimation and Inference for Cox's Model—0
Fact or Artifact? Revise Layer-wise Relevance Propagation on various ANN Architectures—0
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific PlotsCode0
Distributionally Robust Recourse ActionCode0
Valid Inference for Machine Learning Model ParametersCode0
Learning to Retrieve Engaging Follow-Up QueriesCode0
Exploring Local Norms in Exp-concave Statistical Learning—0
Table Tennis Stroke Detection and Recognition Using Ball Trajectory Data—0
LOCUS: LOcalization with Channel Uncertainty and Sporadic Energy—0
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent EnvironmentsCode0
Photonic Neural Networks: A Compact Review—0
Online Statistical Inference for Nonlinear Stochastic Approximation with Markovian Data—0
Toward matrix multiplication for deep learning inference on the Xilinx Versal—0
Restoring the saturation response of a PMT using pulse-shape and artificial-neural-networks—0
Kernel Ridge Regression Inference—0
Local retail electricity markets for distribution grid services—0
Entanglement as a Method to Reduce Uncertainty—0
A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based TestingCode0
Incremental Satisfiability Modulo Theory for Verification of Deep Neural Networks—0
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness—0
Combining self-labeling and demand based active learning for non-stationary data streams—0
A unified recipe for deriving (time-uniform) PAC-Bayes bounds—0
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