How to Tune a Robust Regression Model Without Knowing the Noise: Adaptive Error Estimation for Unregularized M-Estimators | AI Trend Blend AITrendBlend Machine Learning Computer Vision About High-Dimensional Statistics · Journal of Machine Learning Research 26 (2025) 1–40 · Rutgers University · University of Chicago · 18 min read You Can Tune a Robust Regression […]
Test-Time Training on Video Streams: Why Forgetting Is Actually a Feature | AI Trend Blend AITrendBlend Machine Learning Computer Vision About Computer Vision · Journal of Machine Learning Research 26 (2025) 1–29 · UC Berkeley · Stanford · Meta AI · UC San Diego · 20 min read Why Your Model Should Forget Yesterday’s Frames:
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Dist-SI: Selective Inference with Distributed Data via Randomized Lasso | AI Trend Blend Statistical Inference · Journal of Machine Learning Research 26 (2025) 1–44 · 20 min read How Dist-SI Lets Hospitals Run Joint Studies Without Sharing Patient Records — Selective Inference Across Distributed Data Sifan Liu (Stanford) and Snigdha Panigrahi (University of Michigan) introduce
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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback | AI Trend Blend Federated Learning · Journal of Machine Learning Research 26 (2025) 1–67 · 18 min read The Sampling Problem Federated Learning Has Been Ignoring — and How OSMD Finally Fixes It A multi-institution team from the University of Chicago, NJIT,
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Memory Gym: Endless Tasks to Benchmark Memory Capabilities of Agents | AI Trend Blend AITrendBlend Machine Learning Computer Vision Agent Systems About Deep Reinforcement Learning · Journal of Machine Learning Research 26 (2025) 1–40 · 22 min read When Memory Actually Matters: How Memory Gym’s Endless Tasks Expose What Benchmarks Have Been Missing All Along
Memory Gym: Endless Tasks to Benchmark Memory Capabilities of Agents Read More »
PEGN: How Persistent Homology Breaks the WL Barrier in Graph Neural Networks | AI Trend Blend Graph Learning · Journal of Machine Learning Research 26 (2025) 1–36 · 20 min read Loops, Cycles, and the Topology GNNs Cannot See: How PEGN Breaks the Weisfeiler-Lehman Ceiling A multi-institution team spanning Peking University, UC San Diego, Stony
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Why Your AI Says It’s Confident When It Shouldn’t Be — And How MaxWEnt Fixes It | AI Trend Blend AITrendBlend Machine Learning Math Applications About Machine Learning Safety · Journal of Machine Learning Research 26 (2025) · Michelin & ENS Paris-Saclay · 18 min read Why Your AI Says It’s Confident When It Shouldn’t
Why Your AI Says It’s Confident When It Shouldn’t Be — And How MaxWEnt Fixes It Read More »
Sheffer Sequences With Zeros on a Line — A Hidden Bridge to the Riemann Zeta Function | AI Trend Blend Pure Mathematics · Journal of Mathematical Analysis and Applications 563 (2026) · Sungkyunkwan University & California State University, Fresno · 14 min read Zeros in Perfect Formation — How a Family of Polynomials Lines Up
Sheffer Sequences With Zeros on a Line — A Hidden Bridge to the Riemann Zeta Function Read More »
DisC2o-HD: Distributed Causal Inference with Covariate Shift for High-Dimensional Healthcare Data | AI Trend Blend AITrendBlend Healthcare AI Math Applications About Healthcare AI · Journal of Machine Learning Research 26 (2025) · Penn / Columbia / Cornell · 20 min read DisC2o-HD: How Researchers Are Solving the Privacy-Accuracy Trade-off in Multi-Hospital Causal Inference A team
Controlling the Uncontrollable — Null Controllability for Degenerate Coupled Parabolic Equations | AI Trend Blend Applied Mathematics · Journal of Mathematical Analysis and Applications 563 (2026) · UERJ, UPB, UFF & FAU Erlangen · 16 min read Controlling the Uncontrollable — How Mathematicians Are Steering Degenerate Heat Equations That Change Over Time A research team