Jinho Bok

• Jason Altschuler, Jinho Bok, Kunal Talwar (2024), On the privacy of Noisy Stochastic Gradient Descent for convex optimization, SIAM Journal on Computing , 53 (4), pp. 969-1001.
• Jinho Bok, Weijie Su, Jason Altschuler (Working), Shifted Interpolation for Differential Privacy.

Knowledge @ Wharton

• In the Wake of Tariffs, Can Dynamic Pricing Work?, Knowledge @ Wharton - 08/05/2025
• The Rise of Crypto | Campbell Harvey and Neha Narula, Knowledge @ Wharton - 08/05/2025
• How Regulatory Enforcement and Transparency Could Bring Environmental Gains, Knowledge @ Wharton - 08/04/2025
• What I’ve Learned: Peter Cappelli, Knowledge @ Wharton - 08/04/2025
• Ferrero, Kellogg, and the Return of the Breakup-Merger Cycle, Knowledge @ Wharton - 08/01/2025
• How AI Is Reshaping Work and Higher Learning, Knowledge @ Wharton - 07/30/2025
• Inside Sprite, McDonald’s, and Dude Wipes: Branding That Sticks, Knowledge @ Wharton - 07/30/2025
• NFL Training Camps with Aaron Schatz, Chief Analytics Officer of FTN Fantasy, Knowledge @ Wharton - 07/30/2025
• Six Tactics to Get Better Results From AI, Knowledge @ Wharton - 07/29/2025
• What Shapes Analysts’ Long-term Forecasts?, Knowledge @ Wharton - 07/29/2025