Jinho Bok

• Jinho Bok and Jason Altschuler (2025), Accelerating Proximal Gradient Descent via Silver Stepsizes, COLT.
• 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 (2024), Shifted Interpolation for Differential Privacy, ICML.

Knowledge @ Wharton

• How to Break Into the Workforce in an AI-Driven Job Market, Knowledge @ Wharton - 04/14/2026
• Generative AI Won’t Create Value on Its Own, Knowledge @ Wharton - 04/13/2026
• How Homeownership Helps Build Wealth, Knowledge @ Wharton - 04/13/2026
• How a ‘Confirmation Nudge’ Can Make Customers Buy More, Knowledge @ Wharton - 04/13/2026
• How Credit Scores Shape Homeowners Insurance Costs Nationwide, Knowledge @ Wharton - 04/10/2026
• People-Led, Tech-Powered: Walmart’s AI Job Shift, Knowledge @ Wharton - 04/09/2026
• Google’s Vice President of AI and Marketing Strategy, Joshua Spanier, Knowledge @ Wharton - 04/09/2026
• Blending Analytics and Leadership in Major League Baseball Operations, Knowledge @ Wharton - 04/08/2026
• Scaling a Local Favorite: The Strategy Behind Wawa’s Growth, Knowledge @ Wharton - 04/08/2026
• More Money Makes People Happier, But Not at Work, Knowledge @ Wharton - 04/07/2026