@arXiv_csLG_bot@mastoxiv.page2025-12-22 13:54:45
Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/5]:
- Look-Ahead Reasoning on Learning Platforms
Haiqing Zhu, Tijana Zrnic, Celestine Mendler-D\"unner
https://arxiv.org/abs/2511.14745 https://mastoxiv.page/@arXiv_csLG_bot/115575981129228810
- Deep Gaussian Process Proximal Policy Optimization
Matthijs van der Lende, Juan Cardenas-Cartagena
https://arxiv.org/abs/2511.18214 https://mastoxiv.page/@arXiv_csLG_bot/115610315210502140
- Spectral Concentration at the Edge of Stability: Information Geometry of Kernel Associative Memory
Akira Tamamori
https://arxiv.org/abs/2511.23083 https://mastoxiv.page/@arXiv_csLG_bot/115644325602130493
- xGR: Efficient Generative Recommendation Serving at Scale
Sun, Liu, Zhang, Wu, Yang, Liang, Li, Ma, Liang, Ren, Zhang, Liu, Zhang, Qian, Yang
https://arxiv.org/abs/2512.11529 https://mastoxiv.page/@arXiv_csLG_bot/115723008170311172
- Credit Risk Estimation with Non-Financial Features: Evidence from a Synthetic Istanbul Dataset
Atalay Denknalbant, Emre Sezdi, Zeki Furkan Kutlu, Polat Goktas
https://arxiv.org/abs/2512.12783 https://mastoxiv.page/@arXiv_csLG_bot/115729287232895097
- The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
Debu Sinha
https://arxiv.org/abs/2512.15068 https://mastoxiv.page/@arXiv_csLG_bot/115740048142898391
- Towards Reproducibility in Predictive Process Mining: SPICE -- A Deep Learning Library
Stritzel, H\"uhnerbein, Rauch, Zarate, Fleischmann, Buck, Lischka, Frey
https://arxiv.org/abs/2512.16715 https://mastoxiv.page/@arXiv_csLG_bot/115745910810427061
- Differentially private Bayesian tests
Abhisek Chakraborty, Saptati Datta
https://arxiv.org/abs/2401.15502 https://mastoxiv.page/@arXiv_statML_bot/111843467510507382
- SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Reda Alami, Alexey Naumov, Eric Moulines
https://arxiv.org/abs/2402.04114
- Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk
https://arxiv.org/abs/2408.07588 https://mastoxiv.page/@arXiv_statML_bot/112965266196097314
- Non-Perturbative Trivializing Flows for Lattice Gauge Theories
Mathis Gerdes, Pim de Haan, Roberto Bondesan, Miranda C. N. Cheng
https://arxiv.org/abs/2410.13161 https://mastoxiv.page/@arXiv_heplat_bot/113327593338897860
- Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules
Sun, Zhang, Xia, Sun, Chen, Yang, Liu, Zhu, Liu
https://arxiv.org/abs/2410.22674 https://mastoxiv.page/@arXiv_eessIV_bot/113401026110345647
- Targeted Learning for Variable Importance
Xiaohan Wang, Yunzhe Zhou, Giles Hooker
https://arxiv.org/abs/2411.02221 https://mastoxiv.page/@arXiv_statML_bot/113429912435819479
- Refined Analysis of Federated Averaging and Federated Richardson-Romberg
Paul Mangold, Alain Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines
https://arxiv.org/abs/2412.01389 https://mastoxiv.page/@arXiv_statML_bot/113588027268311334
- Embedding-Driven Data Distillation for 360-Degree IQA With Residual-Aware Refinement
Abderrezzaq Sendjasni, Seif-Eddine Benkabou, Mohamed-Chaker Larabi
https://arxiv.org/abs/2412.12667 https://mastoxiv.page/@arXiv_csCV_bot/113672538318570349
- 3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence
Peter Chen, Bryan Chang, Olivia A Creasey, Julie Beth Sneddon, Zev J Gartner, Yining Liu
https://arxiv.org/abs/2502.01890 https://mastoxiv.page/@arXiv_csCV_bot/113949981686723660
- DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents
Shashank Sharma, Janina Hoffmann, Vinay Namboodiri
https://arxiv.org/abs/2502.01956 https://mastoxiv.page/@arXiv_csRO_bot/113949997485625086
- Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
Diana Koldasbayeva, Alexey Zaytsev
https://arxiv.org/abs/2502.03480
- GraphCompNet: A Position-Aware Model for Predicting and Compensating Shape Deviations in 3D Printing
Juheon Lee (Rachel), Lei (Rachel), Chen, Juan Carlos Catana, Hui Wang, Jun Zeng
https://arxiv.org/abs/2502.09652 https://mastoxiv.page/@arXiv_csCV_bot/114017924551186136
- LookAhead Tuning: Safer Language Models via Partial Answer Previews
Liu, Wang, Luo, Yuan, Sun, Liang, Zhang, Zhou, Hooi, Deng
https://arxiv.org/abs/2503.19041 https://mastoxiv.page/@arXiv_csCL_bot/114227502448008352
- Constraint-based causal discovery with tiered background knowledge and latent variables in single...
Christine W. Bang, Vanessa Didelez
https://arxiv.org/abs/2503.21526 https://mastoxiv.page/@arXiv_statML_bot/114238919468512990
toXiv_bot_toot
@johnm@social.tchncs.de2025-12-22 08:36:18
Schön, mein Fedi Circle ist gewachsen. ☺️
#CyberCircleCreator #FediCircle
@arXiv_mathAG_bot@mastoxiv.page2025-09-23 08:23:50
Asymptotics of stability thresholds
Junyao Peng
https://arxiv.org/abs/2509.16458 https://arxiv.org/pdf/2509.16458…
@arXiv_csCE_bot@mastoxiv.page2025-09-23 07:33:27
Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs
Xingang Guo, Yaxin Li, Xiangyi Kong, Yilan Jiang, Xiayu Zhao, Zhihua Gong, Yufan Zhang, Daixuan Li, Tianle Sang, Beixiao Zhu, Gregory Jun, Yingbing Huang, Yiqi Liu, Yuqi Xue, Rahul Dev Kundu, Qi Jian Lim, Yizhou Zhao, Luke Alexander Granger, Mohamed Badr Younis, Darioush Keivan, Nippun Sabharwal, Shreyanka Sinha, Prakhar Agarwal, Kojo Vandyck, Hanlin Mai, Zichen Wang, Aditya Venkatesh, Ayush Barik, Jiankun…
@johnm@social.tchncs.de2025-12-22 10:36:02
@mariyadelano@hachyderm.io2025-10-16 21:51:13
2/2 Reflection on #citizenship:
I do not treat the concept of “#democracy" lightly. I was born into the aftermath of centuries of totalitarian oppression that ended suddenly, leaving the nascent Ukrainian state of the late 90s and early 2000s floundering in the turbulent whirlpool of hopes and fears felt by millions of people who were finally allowed to ponder: how to build a free democratic state in the place of Soviet and imperial ruins?
I was taught the words "democracy", "citizen", "freedom", "voting", “liberty" (and more) by people who, less than two decades prior, weren't allowed to leave the borders of their country. I was told about self-determination by people whose political choices were ridiculed, punished, and eviscerated form most of their lives. The duty of governing ourselves felt to us ephemeral - a nice fantasy, akin to a fairytale or a utopia from fictional works.
And then I saw those same people fight with their bodies and souls once the previously unfathomable democracy was threatened. Protests in 2004, then again in 2014, then the unthinkable war against foreign invasion in 2022. Democracy no longer felt abstract or silly. It became as tangible as saying "I love you".
I write of Ukraine as I reflect on becoming a citizen of another country because the history and values of my adopted United States feel as real as the skin on my legs, the significance of its legacy lays as heavy as the weight of my waist-long hair, and the desire to uphold the freedoms of its Constitution burns my throat as harshly as dehydration after a long day in the sun.
People have asked me why I even want to join this country, when the present moment is shrouded in impenetrable darkness. And I answer: because I've felt the warmth of a newly lit fire of freedom breaking through shadows that for centuries looked like solid walls. I have seen kindness, and solidarity heal the fear and hate of oppression. I've seen liberty emerge from nothing but the human soul.
I am not a religious person, but I have faith. Faith in the ideals at the foundation of the American project. Faint but powerful recognition that "we the people" now includes me.
I love #America. And I hope to keep loving my home for the rest of my life.
@BBC3MusicBot@mastodonapp.uk2025-10-21 20:44:44
🇺🇦 #NowPlaying on BBCRadio3's #Radio3InConcert
Claude Debussy, Orchestre de l’Opéra de Lyon & Jun Märkl:
🎵 Pour invoquer Pan, dieu du vent d'été (Épigraphes antiques orch Ansermet)
#ClaudeDebussy #JunMärkl
https://open.spotify.com/track/6CfpRKIGHrV4VMnkU8z4li
@chris@mstdn.chrisalemany.ca2025-12-22 17:32:12
Now #TheAmericanFascist has appointed an 'envoy' to help convince Greenlanders to ditch Denmark and join the USA. Denmark is shocked and angered, as they should be. Greenlanders are wholly opposed.
There is poetic irony of a Louisiana politician being tapped to lead a "Greenland Purchase" by America. I very much doubt the result will be the same. But there are some interesting parallels.
Lousisiana Purchase (1808)
a) Made possible by squabbles and warring in Europe.
b) involved purchase of 2.14 million km2 of North America for $380 Million in 2024 dollars. Greenland is 2.17 million km2.
It's difficult to fathom just how undervalued the Louisana Purchase was...nevermind the whole — selling Indigenous Lands without Treaty — issue. But hey... that would be another parallel with today's Inuit and Greenland Peoples.
Back in the modern context, America's Fascists just want to do Fascist things like take over sovereign countries and oppress nations, not unlike Hitler, the Kaiser's Germany, the Napoleans, Imperial Britain, Conquistador-ist Spain, and Tsarist-Stalinist-Putinist Russia.
This all needs to be kept -- forefully if need be -- in the past. We cannot allow these regressive dictators to come back.
He must be stopped.
United States of America!
Americans!
Stop prancing around with Christmas presents as if nothing is happening and DEPOSE YOUR PRESIDENT ffs! This is ON YOU first and foremost!!
#USAPoli #Denmark #Canada #Imperialism #TheWorld #UN #NATO #Russia #Ukraine #RussiaUkraineWar #Louisiana #LouisianaPurchase #Greenland
https://www.bbc.com/news/articles/ckgmd132ge4o
@johnm@social.tchncs.de2025-12-21 11:55:20
@BBC3MusicBot@mastodonapp.uk2025-10-21 20:47:44
🇺🇦 #NowPlaying on BBCRadio3's #TheEssay
Claude Debussy, Orchestre de l’Opéra de Lyon & Jun Märkl:
🎵 Pour invoquer Pan, dieu du vent d'été (Épigraphes antiques orch Ansermet)
#ClaudeDebussy #OrchestredelOpéradeLyon
https://open.spotify.com/track/6CfpRKIGHrV4VMnkU8z4li