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arXiv preprint arXiv:2402.07407 , year=

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

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years

2026 2 2025 1

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UNVERDICTED 3

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representative citing papers

Risk-Controlled Post-Processing of Decision Policies

stat.ML · 2026-05-07 · unverdicted · novelty 7.0

Risk-controlled post-processing yields a threshold-structured policy that follows the baseline except where an oracle fallback sharply reduces conditional violation risk, achieving O(log n/n) expected excess risk in i.i.d. settings and exact risk control under exchangeability.

Learning Reachability of Energy Storage Arbitrage

eess.SY · 2025-12-06 · unverdicted · novelty 7.0

A stopping-time reward and chance-constrained SoC penalty embedded in an end-to-end learning framework improves battery reachability of target ranges, raises arbitrage profit, and lowers profit variance under volatile prices.

citing papers explorer

Showing 3 of 3 citing papers.

  • Risk-Controlled Post-Processing of Decision Policies stat.ML · 2026-05-07 · unverdicted · none · ref 43

    Risk-controlled post-processing yields a threshold-structured policy that follows the baseline except where an oracle fallback sharply reduces conditional violation risk, achieving O(log n/n) expected excess risk in i.i.d. settings and exact risk control under exchangeability.

  • Probabilistic Control Barrier Functions for Systems with State Estimation Uncertainty using Sub-Gaussian Concentration eess.SY · 2026-04-10 · unverdicted · none · ref 24

    A particle-based probabilistic CBF framework derives finite-sample safety certificates for Gaussian state estimation uncertainty by showing that barrier increments remain sub-Gaussian under Lipschitz control-affine dynamics.

  • Learning Reachability of Energy Storage Arbitrage eess.SY · 2025-12-06 · unverdicted · none · ref 36

    A stopping-time reward and chance-constrained SoC penalty embedded in an end-to-end learning framework improves battery reachability of target ranges, raises arbitrage profit, and lowers profit variance under volatile prices.