SaaS is for Suckers: AI Already Builds Better Custom Software

6 Jan 2025

Today, more companies are realizing that building, once seen as prohibitively expensive, is not just viable—it’s becoming the superior option

Equivalence Testing: An O(log log n)-query Fully Adaptive Algorithm

9 Dec 2024

Our algorithm can also be modified slightly to obtain a fully adaptive algorithm with sample complexity O˜(log log n).

Bernstein’s Concentration Inequality In Equivalence Testing

9 Dec 2024

The paper provides Proof of Claim using concentration inequality.

Equivalence Testing: The Power of Bounded Adaptivity: Acknowledgements and References

9 Dec 2024

Acknowledgments of the research in Equivalence Testing.

How to Obtain A Fully Adaptive Algorithm With Sample Complexity O˜(log log n)

9 Dec 2024

The paper considered the problem of equivalence testing of two distributions (over [n]) in the conditional sampling model.

Technical Analysis Of The Correctness And Complexity Of EquivTester

9 Dec 2024

The paper provides a technical analysis of the correctness and complexity of EquivTester using COND model and equivalent distributions.

EquivTester Samples In Equivalence Testing Algorithm

9 Dec 2024

The article takes an example of an EquivTester algorithm and how to convert it into a one-round algorithm, using the COND model.

An Efficient One-Round Adaptive Algorithm In Equivalence Testing

9 Dec 2024

This part presents an O(log log n)-query fully adaptive algorithm. The algorithm is a one-round adaptive tester for the equivalence testing problem in the COND

SAMP Model Vs COND Model In Equivalence Testing

9 Dec 2024

This article dives into the SAMP model and the COND model in equivalence testing to find out which is the most optimal for the problem.