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#ReproducibilityCertification

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TMLR certifications<p>New <a href="https://sigmoid.social/tags/ReproducibilityCertification" class="mention hashtag" rel="tag">#<span>ReproducibilityCertification</span></a>:</p><p>Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...</p><p>Florian Lalande, Kenji Doya</p><p><a href="https://openreview.net/forum?id=KqR3rgooXb" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=KqR3rg</span><span class="invisible">ooXb</span></a></p><p><a href="https://sigmoid.social/tags/imputation" class="mention hashtag" rel="tag">#<span>imputation</span></a> <a href="https://sigmoid.social/tags/multimodal" class="mention hashtag" rel="tag">#<span>multimodal</span></a> <a href="https://sigmoid.social/tags/imputed" class="mention hashtag" rel="tag">#<span>imputed</span></a></p>
TMLR certifications<p>New <a href="https://sigmoid.social/tags/ReproducibilityCertification" class="mention hashtag" rel="tag">#<span>ReproducibilityCertification</span></a>:</p><p>Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts</p><p>Rohit Agarwal, Deepak Gupta, Alexander Horsch, Dilip K. Prasad</p><p><a href="https://openreview.net/forum?id=R9CgBkeZ6Z" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=R9CgBk</span><span class="invisible">eZ6Z</span></a></p><p><a href="https://sigmoid.social/tags/dropouts" class="mention hashtag" rel="tag">#<span>dropouts</span></a> <a href="https://sigmoid.social/tags/dropout" class="mention hashtag" rel="tag">#<span>dropout</span></a> <a href="https://sigmoid.social/tags/feature" class="mention hashtag" rel="tag">#<span>feature</span></a></p>
TMLR certifications<p>New <a href="https://sigmoid.social/tags/ReproducibilityCertification" class="mention hashtag" rel="tag">#<span>ReproducibilityCertification</span></a>:</p><p>A Stochastic Proximal Polyak Step Size</p><p>Fabian Schaipp, Robert M. Gower, Michael Ulbrich</p><p><a href="https://openreview.net/forum?id=jWr41htaB3" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=jWr41h</span><span class="invisible">taB3</span></a></p><p><a href="https://sigmoid.social/tags/regularization" class="mention hashtag" rel="tag">#<span>regularization</span></a> <a href="https://sigmoid.social/tags/proxsps" class="mention hashtag" rel="tag">#<span>proxsps</span></a> <a href="https://sigmoid.social/tags/proximal" class="mention hashtag" rel="tag">#<span>proximal</span></a></p>
TMLR certifications<p>New <a href="https://sigmoid.social/tags/ReproducibilityCertification" class="mention hashtag" rel="tag">#<span>ReproducibilityCertification</span></a>:</p><p>Explaining Visual Counterfactual Explainers</p><p>Diego Velazquez, Pau Rodriguez, Alexandre Lacoste, Issam H. Laradji, Xavier Roca, Jordi Gonzàlez</p><p><a href="https://openreview.net/forum?id=RYeRNwRjNE" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=RYeRNw</span><span class="invisible">RjNE</span></a></p><p><a href="https://sigmoid.social/tags/counterfactual" class="mention hashtag" rel="tag">#<span>counterfactual</span></a> <a href="https://sigmoid.social/tags/explainability" class="mention hashtag" rel="tag">#<span>explainability</span></a> <a href="https://sigmoid.social/tags/explanations" class="mention hashtag" rel="tag">#<span>explanations</span></a></p>
TMLR certifications<p>New <a href="https://sigmoid.social/tags/ReproducibilityCertification" class="mention hashtag" rel="tag">#<span>ReproducibilityCertification</span></a>:</p><p>PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets</p><p>Shuo Sun, Molei Qin, Xinrun Wang, Bo An</p><p><a href="https://openreview.net/forum?id=JjbsIYOuNi" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=JjbsIY</span><span class="invisible">OuNi</span></a></p><p><a href="https://sigmoid.social/tags/investment" class="mention hashtag" rel="tag">#<span>investment</span></a> <a href="https://sigmoid.social/tags/investors" class="mention hashtag" rel="tag">#<span>investors</span></a> <a href="https://sigmoid.social/tags/financial" class="mention hashtag" rel="tag">#<span>financial</span></a></p>
TMLR certifications<p>New <a href="https://sigmoid.social/tags/ReproducibilityCertification" class="mention hashtag" rel="tag">#<span>ReproducibilityCertification</span></a>:</p><p>Non-Deterministic Behavior of Thompson Sampling with Linear Payoffs and How to Avoid It</p><p>Doruk Kilitcioglu, Serdar Kadioglu</p><p><a href="https://openreview.net/forum?id=sX9d3gfwtE" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=sX9d3g</span><span class="invisible">fwtE</span></a></p><p><a href="https://sigmoid.social/tags/bandit" class="mention hashtag" rel="tag">#<span>bandit</span></a> <a href="https://sigmoid.social/tags/reproducibility" class="mention hashtag" rel="tag">#<span>reproducibility</span></a> <a href="https://sigmoid.social/tags/deterministic" class="mention hashtag" rel="tag">#<span>deterministic</span></a></p>
TMLR certifications<p>New <a href="https://sigmoid.social/tags/ReproducibilityCertification" class="mention hashtag" rel="tag">#<span>ReproducibilityCertification</span></a>:</p><p>Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter</p><p>Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden</p><p><a href="https://openreview.net/forum?id=GFK1FheE7F" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=GFK1Fh</span><span class="invisible">eE7F</span></a></p><p><a href="https://sigmoid.social/tags/depth" class="mention hashtag" rel="tag">#<span>depth</span></a> <a href="https://sigmoid.social/tags/monodepth_benchmark" class="mention hashtag" rel="tag">#<span>monodepth_benchmark</span></a> <a href="https://sigmoid.social/tags/maps" class="mention hashtag" rel="tag">#<span>maps</span></a></p>