January 2026

Symbolic Regression aims to automatically identify compact and interpretable mathematical expressions that model the functional relationship between input and output variables. Most existing search-based symbolic regression methods typically rely on the fitting error to inform the search process. However, in the vast expression space, numerous candidate expressions may exhibit similar error values while differing substantially in structure, leading to ambiguous search directions and hindering convergence to the underlying true function. To address this challenge, we propose a novel […]

Ver mais

Federated Rank Learning (FRL) is a promising Federated Learning (FL) paradigm designed to be resilient against model poisoning attacks due to its discrete, ranking-based update mechanism. Unlike traditional FL methods that rely on model updates, FRL leverages discrete rankings as a communication parameter between clients and the server. This approach significantly reduces communication costs and limits an adversary’s ability to scale or optimize malicious updates in the continuous space, thereby enhancing its robustness. This makes FRL particularly appealing […]

Ver mais

Learning Path Recommendation (LPR) aims to generate personalized sequences of learning items that maximize long-term learning effect while respecting pedagogical principles and operational constraints. Although large language models (LLMs) offer rich semantic understanding for free-form recommendation, applying them to long-horizon LPR is challenging due to (i) misalignment with pedagogical objectives such as the Zone of Proximal Development (ZPD) under sparse, delayed feedback, (ii) scarce and costly expert demonstrations, and (iii) multi-objective interactions among learning effect, difficulty scheduling, length […]

Ver mais

Supervised deep learning models often achieve excellent performance within their training distribution but struggle to generalize beyond it. In cancer histopathology, for example, a convolutional neural network (CNN) may classify cancer severity accurately for cancer types represented in its training data, yet fail on related but unseen types. Although adenocarcinomas from different organs share morphological features that might support limited cross-domain generalization, addressing domain shift directly is necessary for robust performance. Domain adaptation offers a way to transfer […]

Ver mais

A designer friend recently told me she spent three days trying to figure out why her company’s checkout flow made users confirm their email address twice. It seemed obviously redundant—just bad UX someone forgot to clean up. She asked the PM. She asked the engineer who built it. She even dug through old PRs looking for context. The best answer she got was: “There was something with the vendor API, but I don’t remember the details. Maybe check […]

Ver mais

Around 2 years ago, our sales team was given a daunting task by our CEO – win an incremental 15 points of share in a market segment where we have less than 25% share today. The task seemed even more insurmountable given the fact that this customer segment had an entrenched competitor who had more than 50% share. As the strategy professional for the team, I was tasked with building the approach that the sales team could execute […]

Ver mais

Introduction: The AI Boom Needs Order A few years back producing a decent AI-generated image was quite a struggle. Google expert Matilde shared how she had to sift through countless bad results during testing. The best outcomes ended up looking like a “Francis Bacon painting and at worst, like scenes from John Carpenter movies.” Now, it’s possible to create amazing high-quality images within seconds. This huge improvement shows how fast Generative AI is advancing across different industries. Companies […]

Ver mais

I’ve been building auth systems for a while now, and there’s this debate that keeps coming up: JWTs or sessions? Every tutorial forces you to pick one, then spends 2000 words explaining why the other one is terrible. Here’s the thing though: this entire debate is pointless. You don’t have to choose. There’s a third option that gives you the best of both, and honestly, it’s simpler than either approach on its own. Let me show you what […]

Ver mais

Introduction When writers think about LaTeX, they think about academic papers. Dense research documents filled with equations, citations, and footnotes. They don’t think about fantasy novels, thriller manuscripts, or literary fiction. That’s a missed opportunity. LaTeX—the typesetting system beloved by mathematicians and scientists—offers creative writers something word processors can’t match: programmable consistency. The same features that let physicists define custom notation for quantum equations let novelists define custom styling for character dialogue, narrative voices, and recurring textual elements. […]

Ver mais

Suppose a social media platform’s Ads analytics team wants to know: Does seeing a certain ad (or promoted post) cause users to convert or engage more? This causal question is tricky because users who see the ad might inherently differ from those who don’t. In practice, simply comparing conversion rates of exposed vs. unexposed users can be very misleading. Ad exposure is not randomly assigned – algorithms may show ads more to highly active users, or users self-select into […]

Ver mais