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IJCISIM Journal<p>🙌<a href="https://fediscience.org/tags/call4reading" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>call4reading</span></a></p><p>✍️Scrum Poker <a href="https://fediscience.org/tags/Estimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Estimator</span></a>: A Planning Poker <a href="https://fediscience.org/tags/Tool" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tool</span></a> for <a href="https://fediscience.org/tags/Accurate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Accurate</span></a> Story Point Estimation <a href="https://fediscience.org/tags/by" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>by</span></a> Bushra Alsaadi, Bashaer Alsaadi, Mashaal Alfhaid, Athir Alghamdi, Nedaa Almuallim, and Bahjat Fakieh</p><p>🔗<a href="https://cspub-ijcisim.org/index.php/ijcisim/article/view/495" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">cspub-ijcisim.org/index.php/ij</span><span class="invisible">cisim/article/view/495</span></a></p>
JMLR<p>&#39;Error estimation and adaptive tuning for unregularized robust M-estimator&#39;, by Pierre C. Bellec, Takuya Koriyama.</p><p><a href="http://jmlr.org/papers/v26/24-0060.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v26/24-0060.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/estimation" class="mention hashtag" rel="tag">#<span>estimation</span></a> <a href="https://sigmoid.social/tags/estimators" class="mention hashtag" rel="tag">#<span>estimators</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="tag">#<span>estimator</span></a></p>
JMLR<p>&#39;Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition&#39;, by Varun Kanade, Patrick Rebeschini, Tomas Vaskevicius.</p><p><a href="http://jmlr.org/papers/v25/23-0063.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-0063.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/rademacher" class="mention hashtag" rel="tag">#<span>rademacher</span></a> <a href="https://sigmoid.social/tags/estimators" class="mention hashtag" rel="tag">#<span>estimators</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="tag">#<span>estimator</span></a></p>
JMLR<p>&#39;Linear Regression With Unmatched Data: A Deconvolution Perspective&#39;, by Mona Azadkia, Fadoua Balabdaoui.</p><p><a href="http://jmlr.org/papers/v25/22-0930.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/22-0930.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/deconvolution" class="mention hashtag" rel="tag">#<span>deconvolution</span></a> <a href="https://sigmoid.social/tags/identifiability" class="mention hashtag" rel="tag">#<span>identifiability</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="tag">#<span>estimator</span></a></p>
JMLR<p>&#39;Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations&#39;, by Yuanyuan Wang, Wei Huang, Mingming Gong, Xi Geng, Tongliang Liu, Kun Zhang, Dacheng Tao.</p><p><a href="http://jmlr.org/papers/v25/22-1159.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/22-1159.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/estimation" class="mention hashtag" rel="tag">#<span>estimation</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="tag">#<span>estimator</span></a> <a href="https://sigmoid.social/tags/odes" class="mention hashtag" rel="tag">#<span>odes</span></a></p>
JMLR<p>&#39;Estimating the Minimizer and the Minimum Value of a Regression Function&#39;, by Arya Akhava, Davit Gogolashvili, Alexandre B. Tsybakov.</p><p><a href="http://jmlr.org/papers/v25/22-1396.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/22-1396.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/minimizer" class="mention hashtag" rel="tag">#<span>minimizer</span></a> <a href="https://sigmoid.social/tags/estimation" class="mention hashtag" rel="tag">#<span>estimation</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="tag">#<span>estimator</span></a></p>
JMLR<p>&#39;Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption&#39;, by Lihu Xu, Fang Yao, Qiuran Yao, Huiming Zhang.</p><p><a href="http://jmlr.org/papers/v24/22-0034.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/22-0034.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/estimators" class="mention hashtag" rel="tag">#<span>estimators</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="tag">#<span>estimator</span></a> <a href="https://sigmoid.social/tags/estimations" class="mention hashtag" rel="tag">#<span>estimations</span></a></p>
JMLR<p>&#39;Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence&#39;, by Henry Lam, Haofeng Zhang.</p><p><a href="http://jmlr.org/papers/v24/21-1313.html" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/21-1313.ht</span><span class="invisible">ml</span></a> <br /> <br /><a href="https://sigmoid.social/tags/stein" class="mention hashtag" rel="tag">#<span>stein</span></a> <a href="https://sigmoid.social/tags/kernelized" class="mention hashtag" rel="tag">#<span>kernelized</span></a> <a href="https://sigmoid.social/tags/estimator" class="mention hashtag" rel="tag">#<span>estimator</span></a></p>