Update CHANGELOG.md for dp_accounting, jax_privacy, and dpsynth.

dpsynth/CHANGELOG.md

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+# Changelog
+
+All notable changes to the `dpsynth` library will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
+and this project adheres to
+[Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [0.1.0] - 2026-06-15
+
+Initial public release of DP Synth — a library for generating differentially
+private synthetic tabular data using marginal measurement and Private-PGM
+inference.
+
+### Added
+
+-   **Two execution modes**: In-memory local mode (via `dpsynth.generate()`,
+    tested up to ~100M rows) and a distributed Apache Beam mode for larger
+    workloads.
+-   **Marginal-based mechanisms**: AIM, MST, Independent, and Direct mechanisms
+    for selecting and measuring marginals under differential privacy.
+-   **Closed-domain categorical attributes**: Standard categorical columns
+    where the full domain is known upfront.
+-   **Open-domain categorical attributes**: DP partition selection to privately
+    discover significant categories when the domain is not known in advance.
+-   **Numerical attributes**: Discretization with configurable
+    `interval_handling` to control how intervals are converted back to values
+    (`midpoint`, `sample`, or raw `pd.Interval`).
+-   **Quickstart notebook**: Interactive Colab notebook demonstrating basic
+    usage of the library.
+-   **Documentation**: README with architecture overview, module-level READMEs,
+    and work-in-progress notice.
+
+[0.1.0]: https://github.com/google/dpsynth/releases/tag/v0.1.0