Tootfinder

TikTok's new majority US-owned JV includes investors Oracle, Silver Lake, and Abu Dhabi's MGX, each holding 15%, and Dell Family Office; ByteDance retains 19.9% (Financial Times)
https://www.ft.com/content/b905cb50-3093-4273-b097-4cedc835fadd

TikTok's new majority US-owned JV includes investors Oracle, Silver Lake, and Abu Dhabi's MGX, each holding 15%, and Dell Family Office; ByteDance retains 19.9% (Financial Times)
https://www.ft.com/content/b905cb50-3093-4273-b097-4cedc835fadd

Rethink Efficiency Side of Neural Combinatorial Solver: An Offline and Self-Play Paradigm
Zhenxing Xu, Zeyuan Ma, Weidong Bao, Hui Yan, Yan Zheng, Ji Wang
https://arxiv.org/abs/2602.20730 https://arxiv.org/pdf/2602.20730 https://arxiv.org/html/2602.20730
arXiv:2602.20730v1 Announce Type: new
Abstract: We propose ECO, a versatile learning paradigm that enables efficient offline self-play for Neural Combinatorial Optimization (NCO). ECO addresses key limitations in the field through: 1) Paradigm Shift: Moving beyond inefficient online paradigms, we introduce a two-phase offline paradigm consisting of supervised warm-up and iterative Direct Preference Optimization (DPO); 2) Architecture Shift: We deliberately design a Mamba-based architecture to further enhance the efficiency in the offline paradigm; and 3) Progressive Bootstrapping: To stabilize training, we employ a heuristic-based bootstrapping mechanism that ensures continuous policy improvement during training. Comparison results on TSP and CVRP highlight that ECO performs competitively with up-to-date baselines, with significant advantage on the efficiency side in terms of memory utilization and training throughput. We provide further in-depth analysis on the efficiency, throughput and memory usage of ECO. Ablation studies show rationale behind our designs.
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https://www.instagram.com/reel/DVEuV1hkvjG/

Singers on Instagram: "15,000 people singing to call on ICE to: quit your jobs! Show your courage! Lay down your weapons! Leave this behind! 🧊 Singing with Brandi Carlile was awesome - but what we’re really about is taking it to the streets. Join us for our National Weekend of Action Feb. 28 / March 1 by find your local group at tinyurl.com/groupslistSR (linked in bio) and contact them directly to join an action near you. ⭐️ We sing to protect and care for our communities in the face of rising authoritarianism. Always and forever we say: ABOLISH ICE. Who in your life can you start a conversation with about abolishing ICE? Send them this video and invite them to join you at a Singing Resistance action near you! 💌 Song: Annie Schlaefer It’s okay to change your mind Show us your courage Leave this behind It’s okay to change your mind And you can join us Join us here anytime"
31K likes, 307 comments - singingresistance on February 22, 2026: "15,000 people singing to call on ICE to: quit your jobs! Show your courage! Lay down your weapons! Leave this behind! 🧊 Singing with Brandi Carlile was awesome - but what we’re really about is taking it to the streets. Join us for our National Weekend of Action Feb. 28 / March 1 by find your local group at tinyurl.com/groupslistSR (linked in bio) and contact them directly to join an action near you. ⭐️ We sing to prot…

«dCode - Online Ciphers, Solvers, Decoders, Calculators:
dCode is the universal site for decipher coded messages, cheating on letter games, solving puzzles, geocaches and treasure hunts, etc.»
This data-collecting website is often suggested to me when I am looking for something for data security and encryption. Are there any data-saving online alternatives in this regard?
🔑

dCode - Online Ciphers, Solvers, Decoders, Calculators
dCode is the universal site for decipher coded messages, cheating on letter games, solving puzzles, geocaches and treasure hunts, etc.

#EroticMusings 39: Does your erotica explore themes of the "exotic" and/or of "otherness"?
I describe different bodies, but I do my best to have my characters marvel at all of them. Fenia and her pink skin is as wondrous to behold as Fabiolas dark one with the silvery strech marks, as wondrous as Alexis and her freckled knees.
My characters share a deep ado…

Memo: the TikTok US deal is set to close on Jan. 22; terms include retraining the recommendation algorithm on US user data and Oracle overseeing data protection (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

TikTok U.S. Deal to Close Next Month: Oracle and Silver Lake Confirmed in Buyer Consortium
Abu Dhabi's state investment fund will also be a managing investor.

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„Benutzte“ #Vanilleschoten bekommen dafür ein zweites Leben. Was …

DIY: Vanillezucker kostengünstig selber machen
Vanillezucker selber machen: Das Rezept für aromatischen Vanillezucker ohne Verpackungsmüll.

Memo: the TikTok US deal is set to close on Jan. 22; terms include retraining the recommendation algorithm on US user data and Oracle overseeing data protection (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

TikTok U.S. Deal to Close Next Month: Oracle and Silver Lake Confirmed in Buyer Consortium
Abu Dhabi's state investment fund will also be a managing investor.

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/6]:
- Towards Attributions of Input Variables in a Coalition
Xinhao Zheng, Huiqi Deng, Quanshi Zhang
https://arxiv.org/abs/2309.13411
- Knee or ROC
Veronica Wendt, Jacob Steiner, Byunggu Yu, Caleb Kelly, Justin Kim
https://arxiv.org/abs/2401.07390
- Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almud\'evar, Alfonso Ortega
https://arxiv.org/abs/2408.07016 https://mastoxiv.page/@arXiv_csLG_bot/112959235461894530
- Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
Etrit Haxholli, Yeti Z. Gurbuz, Ogul Can, Eli Waxman
https://arxiv.org/abs/2411.00759 https://mastoxiv.page/@arXiv_csLG_bot/113423933393275133
- Predicting Subway Passenger Flows under Incident Situation with Causality
Xiannan Huang, Shuhan Qiu, Quan Yuan, Chao Yang
https://arxiv.org/abs/2412.06871 https://mastoxiv.page/@arXiv_csLG_bot/113632934357523592
- Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling
Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic
https://arxiv.org/abs/2501.08219 https://mastoxiv.page/@arXiv_csLG_bot/113831081884570770
- Universality of Benign Overfitting in Binary Linear Classification
Ichiro Hashimoto, Stanislav Volgushev, Piotr Zwiernik
https://arxiv.org/abs/2501.10538 https://mastoxiv.page/@arXiv_csLG_bot/113872351652969955
- Safe Reinforcement Learning for Real-World Engine Control
Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert
https://arxiv.org/abs/2501.16613 https://mastoxiv.page/@arXiv_csLG_bot/113910356206562660
- A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin
https://arxiv.org/abs/2502.01310
- Improving the Convergence of Private Shuffled Gradient Methods with Public Data
Shuli Jiang, Pranay Sharma, Zhiwei Steven Wu, Gauri Joshi
https://arxiv.org/abs/2502.03652 https://mastoxiv.page/@arXiv_csLG_bot/113961314098841096
- Using the Path of Least Resistance to Explain Deep Networks
Sina Salek, Joseph Enguehard
https://arxiv.org/abs/2502.12108 https://mastoxiv.page/@arXiv_csLG_bot/114023706252106865
- Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
https://arxiv.org/abs/2502.17028 https://mastoxiv.page/@arXiv_csLG_bot/114063477202397951
- Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
Sharan Vaswani, Reza Babanezhad
https://arxiv.org/abs/2503.00229 https://mastoxiv.page/@arXiv_csLG_bot/114103018985567633
- Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling
Yan Li, Zhenyu Zhang, Zhengang Wang, Pengfei Chen, Pengfei Zheng
https://arxiv.org/abs/2503.04398 https://mastoxiv.page/@arXiv_csLG_bot/114120014622063602
- A Survey on Federated Fine-tuning of Large Language Models
Wu, Tian, Li, Sun, Tam, Zhou, Liao, Xiong, Guo, Li, Xu
https://arxiv.org/abs/2503.12016 https://mastoxiv.page/@arXiv_csLG_bot/114182234054681647
- Towards Trustworthy GUI Agents: A Survey
Yucheng Shi, Wenhao Yu, Jingyuan Huang, Wenlin Yao, Wenhu Chen, Ninghao Liu
https://arxiv.org/abs/2503.23434 https://mastoxiv.page/@arXiv_csLG_bot/114263024618476521
- CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
Chao Yang, Xiannan Huang, Shuhan Qiu, Yan Cheng
https://arxiv.org/abs/2504.13961 https://mastoxiv.page/@arXiv_csLG_bot/114380404041503229
- Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
Nikola Zubi\'c, Davide Scaramuzza
https://arxiv.org/abs/2505.11602 https://mastoxiv.page/@arXiv_csLG_bot/114538965060456498
- RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta
https://arxiv.org/abs/2505.13289 https://mastoxiv.page/@arXiv_csLG_bot/114539124884913788
- RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang, Bingcong Li, Georgios B. Giannakis
https://arxiv.org/abs/2505.18877 https://mastoxiv.page/@arXiv_csLG_bot/114578778213033886
- SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data
Bechler-Speicher, Zerio, Huri, Vestergaard, Gilad-Bachrach, Jess, Bhatt, Sazonovs
https://arxiv.org/abs/2505.19193 https://mastoxiv.page/@arXiv_csLG_bot/114578790124778172
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