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Comics and Jokes @ Lucentinian Works Co LtdNew entry of AI-generated <a href="https://social.lucentinian.com/search?tag=comics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#comics</a> and <a href="https://social.lucentinian.com/search?tag=jokes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#jokes</a> added to our <a href="https://social.lucentinian.com/search?tag=website" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#website</a>:<a href="https://social.lucentinian.com/search?tag=Optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Optimal</a> <a href="https://social.lucentinian.com/search?tag=Time" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Time</a> for <a href="https://social.lucentinian.com/search?tag=Eating" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Eating</a><a href="https://comics.lucentinian.com/6416" rel="nofollow noopener noreferrer" target="_blank">comics.lucentinian.com/6416</a> <a href="https://social.lucentinian.com/search?tag=NewsLaughs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NewsLaughs</a> <a href="https://social.lucentinian.com/search?tag=AIComedy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIComedy</a> <a href="https://social.lucentinian.com/search?tag=DailyJokes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DailyJokes</a> <a href="https://social.lucentinian.com/search?tag=DailyComedy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DailyComedy</a> <a href="https://social.lucentinian.com/search?tag=LaughWithAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LaughWithAI</a>

JMLR'Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression', by Aleksandrs Slivkins, Xingyu Zhou, Karthik Abinav Sankararaman, Dylan J. Foster.<a href="http://jmlr.org/papers/v25/24-1220.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/24-1220.html</a> <a href="https://sigmoid.social/tags/bandits" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#bandits</a> <a href="https://sigmoid.social/tags/knapsacks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#knapsacks</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a>

JMLR'Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization', by Lesi Chen, Luo Luo.<a href="http://jmlr.org/papers/v25/22-1126.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/22-1126.html</a> <a href="https://sigmoid.social/tags/minimax" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#minimax</a> <a href="https://sigmoid.social/tags/optimization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimization</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a>

JMLR'Optimal Decision Tree and Adaptive Submodular Ranking with Noisy Outcomes', by Su Jia, Fatemeh Navidi, Viswanath Nagarajan, R. Ravi.<a href="http://jmlr.org/papers/v25/23-1484.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-1484.html</a> <a href="https://sigmoid.social/tags/adaptive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#adaptive</a> <a href="https://sigmoid.social/tags/classifiers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#classifiers</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a>

JMLR'On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport', by Minhui Huang, Shiqian Ma, Lifeng Lai.<a href="http://jmlr.org/papers/v25/22-0524.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/22-0524.html</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a> <a href="https://sigmoid.social/tags/optimization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimization</a> <a href="https://sigmoid.social/tags/maximization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#maximization</a>

JMLR'Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality', by François G. Ged, Maria Han Veiga.<a href="http://jmlr.org/papers/v25/23-0879.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-0879.html</a> <a href="https://sigmoid.social/tags/softmax" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#softmax</a> <a href="https://sigmoid.social/tags/optimality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimality</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a>

Bose-Einstein-Kondensat<a href="https://mstdn.social/tags/OPTImAL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OPTImAL</a>: <a href="https://mstdn.social/tags/Optical" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Optical</a> projection <a href="https://mstdn.social/tags/tomography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tomography</a> implemented for <a href="https://mstdn.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenSource</a> accessibility & low cost:-<a href="https://mstdn.social/tags/LED" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LED</a> excitation -<a href="https://mstdn.social/tags/motorized" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#motorized</a> rotation stage -<a href="https://mstdn.social/tags/GPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GPU</a>-based <a href="https://mstdn.social/tags/image" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#image</a> reconstruction (<a href="https://mstdn.social/tags/MATLAB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MATLAB</a>/#ASTRA)<a href="https://doi.org/10.1098/rsta.2023.0101" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://doi.org/10.1098/rsta.2023.0101</a> <a href="https://mstdn.social/tags/DIYbio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DIYbio</a> <a href="https://mstdn.social/tags/lab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lab</a> <a href="https://mstdn.social/tags/instruments" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#instruments</a> <a href="https://mstdn.social/tags/fluorescence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#fluorescence</a> <a href="https://mstdn.social/tags/imaging" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#imaging</a> <a href="https://mstdn.social/tags/MicroManager" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MicroManager</a>

JMLR'Regret Analysis of Bilateral Trade with a Smoothed Adversary', by Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi.<a href="http://jmlr.org/papers/v25/23-1627.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-1627.html</a> <a href="https://sigmoid.social/tags/adversary" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#adversary</a> <a href="https://sigmoid.social/tags/buyers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#buyers</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a>

JMLR'On the Optimality of Misspecified Spectral Algorithms', by Haobo Zhang, Yicheng Li, Qian Lin.<a href="http://jmlr.org/papers/v25/23-0383.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-0383.html</a> <a href="https://sigmoid.social/tags/optimality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimality</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a> <a href="https://sigmoid.social/tags/spectral" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#spectral</a>

JMLR'Optimal Clustering with Bandit Feedback', by Junwen Yang, Zixin Zhong, Vincent Y. F. Tan.<a href="http://jmlr.org/papers/v25/22-1088.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/22-1088.html</a> <a href="https://sigmoid.social/tags/bandit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#bandit</a> <a href="https://sigmoid.social/tags/clustering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#clustering</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a>

JMLR'Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm', by Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton.<a href="http://jmlr.org/papers/v25/23-1663.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-1663.html</a> <a href="https://sigmoid.social/tags/norm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#norm</a> <a href="https://sigmoid.social/tags/norms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#norms</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a>

HP van BraamFinally my <a href="https://mastodon.tmm.cx/tags/display" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#display</a> <a href="https://mastodon.tmm.cx/tags/settings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#settings</a> will be <a href="https://mastodon.tmm.cx/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a>

JMLR'Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls', by Mochuan Liu, Yuanjia Wang, Haoda Fu, Donglin Zeng.<a href="http://jmlr.org/papers/v25/23-0072.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-0072.html</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a> <a href="https://sigmoid.social/tags/diabetes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#diabetes</a> <a href="https://sigmoid.social/tags/dtrs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dtrs</a>

JMLR'An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization', by Guy Kornowski, Ohad Shamir.<a href="http://jmlr.org/papers/v25/23-1159.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-1159.html</a> <a href="https://sigmoid.social/tags/optimization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimization</a> <a href="https://sigmoid.social/tags/nonconvex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nonconvex</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a>

JMLR'Faster Rates of Differentially Private Stochastic Convex Optimization', by Jinyan Su, Lijie Hu, Di Wang.<a href="http://jmlr.org/papers/v25/22-0079.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/22-0079.html</a> <a href="https://sigmoid.social/tags/stochastic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#stochastic</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a> <a href="https://sigmoid.social/tags/convex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#convex</a>

JMLR'Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization', by Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou.<a href="http://jmlr.org/papers/v25/21-0748.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/21-0748.html</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a> <a href="https://sigmoid.social/tags/optimization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimization</a> <a href="https://sigmoid.social/tags/minimax" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#minimax</a>

JMLR'Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality', by Joshua Cutler, Mateo Díaz, Dmitriy Drusvyatskiy.<a href="http://jmlr.org/papers/v25/22-0832.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/22-0832.html</a> <a href="https://sigmoid.social/tags/stochastic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#stochastic</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a> <a href="https://sigmoid.social/tags/optimality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimality</a>

JMLR'Optimal First-Order Algorithms as a Function of Inequalities', by Chanwoo Park, Ernest K. Ryu.<a href="http://jmlr.org/papers/v25/21-1256.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/21-1256.html</a> <a href="https://sigmoid.social/tags/algorithms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#algorithms</a> <a href="https://sigmoid.social/tags/algorithm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#algorithm</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a>

Matt WillemsenScientists Reveal Optimal Number of Daily Steps to Offset Sitting Down <a href="https://www.sciencealert.com/scientists-reveal-optimal-number-of-daily-steps-to-offset-sitting-down" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.sciencealert.com/scientists-reveal-optimal-number-of-daily-steps-to-offset-sitting-down</a> <a href="https://mastodon.social/tags/health" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#health</a> <a href="https://mastodon.social/tags/steps" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#steps</a> <a href="https://mastodon.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a> <a href="https://mastodon.social/tags/sedentary" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#sedentary</a> <a href="https://mastodon.social/tags/CVD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CVD</a> <a href="https://mastodon.social/tags/risk" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#risk</a>

JMLR'Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms', by T. Tony Cai, Hongji Wei.<a href="http://jmlr.org/papers/v25/21-0316.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/21-0316.html</a> <a href="https://sigmoid.social/tags/estimation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#estimation</a> <a href="https://sigmoid.social/tags/optimal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimal</a> <a href="https://sigmoid.social/tags/optimality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#optimality</a>

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