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

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[JMLR] Stable Implementation of Probabilistic ODE Solvers
https://t.co/Sqx58RLp0O

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[JMLR] Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits
https://t.co/n5utmveVRK

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[JMLR] Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
https://t.co/IyVPoTWY3O

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[JMLR] Faster Rates of Differentially Private Stochastic Convex Optimization
https://t.co/jA0gl67zwk

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[JMLR] The Non-Overlapping Statistical Approximation to Overlapping Group Lasso
https://t.co/diVnwJyiNz

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[JMLR] Differentially Private Data Release for Mixed-type Data via Latent Factor Models
https://t.co/jEUGNDA6Ar

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[JMLR] Functions with average smoothness: structure, algorithms, and learning
https://t.co/9a48PtFjsB

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[JMLR] Predictive Inference with Weak Supervision
https://t.co/H4dlUBB05B

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[JMLR] Generative Adversarial Ranking Nets
https://t.co/CXepEpXXhQ

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[JMLR] OpenBox: A Python Toolkit for Generalized Black-box Optimization
https://t.co/uD98JTw2jT

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[JMLR] Linear Distance Metric Learning with Noisy Labels
https://t.co/QGZg5DW65U

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[JMLR] An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
https://t.co/aFSaxvfpa2

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[JMLR] Sum-of-norms clustering does not separate nearby balls
https://t.co/rq6hJ2aqWk

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[JMLR] Spectral learning of multivariate extremes
https://t.co/OGaKmY19l9

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[JMLR] Classification with Deep Neural Networks and Logistic Loss
https://t.co/zxhjr1lUlA

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[JMLR] Random Subgraph Detection Using Queries
https://t.co/KfX0efQCha

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[JMLR] Margin-Based Active Learning of Classifiers
https://t.co/5lYwRovJOk

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[JMLR] Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls
https://t.co/BNHKBtkTIG

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[JMLR] Regimes of No Gain in Multi-class Active Learning
https://t.co/Fes5AH1BeA

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[JMLR] Fairness guarantees in multi-class classification with demographic parity
https://t.co/t68IZ6Qd3E