Valiance Solutions

I recently started PhD studies in machine learning at Ruhr University Bochum. One of the main research topics of the group I joined is called Slow Feature Analysis (SFA). To learn about a new topic, I like seeing examples and intuitive explanations if possible before submerging myself in mathematical rigor. I wrote this blog post for others who like approaching subjects in a similar manner, as I believe that SFA is quite powerful and interesting.

A brief introduction to Slow Feature Analysis

Analyze option pricing methods, comparing FDM and Monte Carlo simulations, while exploring variance reduction techniques in the Black-Scholes model.

Comparative Analysis of Option Pricing Methods: FDM, Monte Carlo Simulation, and Variance Reduction 

This research presents innovative methods to reduce hedge errors in the Black-Scholes model, enhancing the accuracy and efficiency of option pricing simulations

Innovative Solutions for Hedge Errors in the Black-Scholes Model

Discover FinRL's use cases for portfolio allocation and cryptocurrency trading

End-to-End Solutions for Cryptocurrency Trading

Variance Inflation Factor - A Pertinent Statistical Metric for the Discernment of Multicollinearity 

by <a href="https://www.linkedin.com/in/julien-jouganous-647993124" target="_blank">Julien Jouganous</a>, <a href="https://www.linkedin.com/in/romainsavidan/" target="_blank">Romain Savidan</a> and <a href="https://www.linkedin.com/in/axelbellec/" target="_blank">Axel Bellec</a> (Data Scientists at <a href="http://cdiscount.com" target="_blank">Cdiscount</a>)

A brief overview of Automatic Machine Learning solutions (AutoML)

In the era of the <a href="https://en.wikipedia.org/wiki/Internet_of_things">Internet of Things</a> and Mobility, with a huge volume of data becoming available at a fast velocity, there must be the need for an efficient analytics system.

Ingestion and Processing of Data For Big Data and IoT Solutions

A deep dive into Shravanthi Ashwin Kumar’s data-driven approach to financial analytics, forecasting, and tech-powered decision-making AI!

From Forecasting to BI: Inside Shravanthi Ashwin Kumar’s Data-Driven Finance Playbook

Learn how to benchmark PyTorch and CUDA code correctly. A practical guide to measuring GPU performance using CUDA events.

What Really Determines the Speed of Your PyTorch Code?

Downtime drives cloud spend spikes, engineering drag, customer churn, and people risk. A FinOps and insurance lens reveals the true cost.

The Hidden Cost of Downtime: A FinOps and Insurance Perspective

Sachin Gupta blends audit expertise with analytics, automation, and cloud tools to enhance efficiency, compliance, and risk detection.

Sachin Gupta: Redefining Modern Audit Through Technology and Analytics

SAP S/4HANA Revenue Accounting and Reporting represents a fundamental shift in how enterprises achieve financial integrity. 

SAP S/4HANA Revenue Accounting and the Future of Compliant Enterprise Finance

Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference. How Nvidia Learned to Stop Worrying and Acquired Groq


Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference

Datadog’s Toto sets a new benchmark in time series forecasting with trillion-point training and domain-tuned observability insights.

The Time Series Optimized Transformer Setting New Standards in Observability

Measuring AI impact made clear: experiments, causal methods, and sanity checks to separate real improvement from coincidence.

A Practical Guide to Measuring Business Impact in AI/ML Projects

Learn how startups can win in the AI era—become the answer in ChatGPT & Perplexity, build AI-native ops, and grow faster with smarter distribution.

Startups, Meet Your New Distribution Channel: AI

The “Agentic Web” looms: autonomous systems negotiating across services; firms that let agents handle the routine 80% free humans for the hard 20%.

Beyond the Hype: The Quiet Rise of AI Agents That Run Your Digital Life

Discover why LLM output non-determinism is a critical business obstacle, not just a bug, and how solving it unlocks high-value enterprise applications.

Re: Defeating Nondeterminism in LLM Inference, The Future is Predictable

How to get a quant trading job: role types, interview prep, XYZ résumé examples, portfolio tips, and a step-by-step strategy for offers in a competitive market.

Breaking Into Quant Trading: A Practical, No-Fluff Guide

Experiments reveal how miners prioritize Ethereum and Bitcoin transactions, shedding light on transparency, speed, and mining pool influence.

What Happens When You Pay to Speed Up a Crypto Transaction?

Miner collusion, hidden fees, and skewed voting reveal how blockchain systems fall short on fairness, transparency, and true decentralization.

What Happens When Blockchain Miners Cheat the System

This study reveals how miners deviate from fair transaction ordering in Bitcoin and Ethereum, backed by empirical data on private mining and dark fees.


Uncovering Hidden Bias in Blockchain Transaction Ordering

Explore our detailed theoretical analysis of fair data pruning for binary classification using a mixture of Gaussians

Theoretical Analysis of Fair Data Pruning with Gaussian Mixtures

This article explores Bitcoin’s frequent mempool congestion, users boosting fees for faster inclusion, and finds miners mostly follow norms. 

Do Bitcoin Miners Really Follow Fee‑Based Prioritization Norms?

Valiance offers AI-based customized solutions for Data Enrichment, Process Automation, Predictive Analytics \u0026 Customer Engagement that cut across businesses and industries

VALIANCE SOLUTIONS

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Valiance Solutions's stories on HackerNoon

A brief introduction to Slow Feature Analysis

Comparative Analysis of Option Pricing Methods: FDM, Monte Carlo Simulation, and Variance Reduction

Innovative Solutions for Hedge Errors in the Black-Scholes Model

End-to-End Solutions for Cryptocurrency Trading

Variance Inflation Factor - A Pertinent Statistical Metric for the Discernment of Multicollinearity

A brief overview of Automatic Machine Learning solutions (AutoML)

Ingestion and Processing of Data For Big Data and IoT Solutions

From Forecasting to BI: Inside Shravanthi Ashwin Kumar’s Data-Driven Finance Playbook

What Really Determines the Speed of Your PyTorch Code?

The Hidden Cost of Downtime: A FinOps and Insurance Perspective

Sachin Gupta: Redefining Modern Audit Through Technology and Analytics

SAP S/4HANA Revenue Accounting and the Future of Compliant Enterprise Finance

Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference

The Time Series Optimized Transformer Setting New Standards in Observability

A Practical Guide to Measuring Business Impact in AI/ML Projects

Startups, Meet Your New Distribution Channel: AI

Beyond the Hype: The Quiet Rise of AI Agents That Run Your Digital Life

Re: Defeating Nondeterminism in LLM Inference, The Future is Predictable

Breaking Into Quant Trading: A Practical, No-Fluff Guide

What Happens When You Pay to Speed Up a Crypto Transaction?

What Happens When Blockchain Miners Cheat the System

Uncovering Hidden Bias in Blockchain Transaction Ordering

Theoretical Analysis of Fair Data Pruning with Gaussian Mixtures

Do Bitcoin Miners Really Follow Fee‑Based Prioritization Norms?

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