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Recent articles from IEEE, Springer, Elsevier, SIAM, JMLR.

[JMLR] Stable Implementation of Probabilistic ODE Solvers jmlr.org/papers/v25/20-…


[JMLR] Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits jmlr.org/papers/v25/21-…


[JMLR] Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization jmlr.org/papers/v25/21-…


[JMLR] Faster Rates of Differentially Private Stochastic Convex Optimization jmlr.org/papers/v25/22-…


[JMLR] The Non-Overlapping Statistical Approximation to Overlapping Group Lasso jmlr.org/papers/v25/22-…


[JMLR] Differentially Private Data Release for Mixed-type Data via Latent Factor Models jmlr.org/papers/v25/22-…


[JMLR] Functions with average smoothness: structure, algorithms, and learning jmlr.org/papers/v25/23-…


[JMLR] Predictive Inference with Weak Supervision jmlr.org/papers/v25/23-…


[JMLR] Generative Adversarial Ranking Nets jmlr.org/papers/v25/23-…


[JMLR] OpenBox: A Python Toolkit for Generalized Black-box Optimization jmlr.org/papers/v25/23-…


[JMLR] Linear Distance Metric Learning with Noisy Labels jmlr.org/papers/v25/23-…


[JMLR] An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization jmlr.org/papers/v25/23-…


[JMLR] Sum-of-norms clustering does not separate nearby balls jmlr.org/papers/v25/21-…


[JMLR] Spectral learning of multivariate extremes jmlr.org/papers/v25/21-…


[JMLR] Classification with Deep Neural Networks and Logistic Loss jmlr.org/papers/v25/22-…


[JMLR] Random Subgraph Detection Using Queries jmlr.org/papers/v25/22-…


[JMLR] Margin-Based Active Learning of Classifiers jmlr.org/papers/v25/22-…


[JMLR] Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls jmlr.org/papers/v25/23-…


[JMLR] Regimes of No Gain in Multi-class Active Learning jmlr.org/papers/v25/23-…


[JMLR] Fairness guarantees in multi-class classification with demographic parity jmlr.org/papers/v25/23-…


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