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

• Examining Equity and Opportunity in NFL Coaching Searches, Knowledge @ Wharton - 06/05/2026
• Creating a Category: Mike Kurtz, Founder of Mike’s Hot Honey, on Brand Building, Community, and Growth, Knowledge @ Wharton - 06/04/2026
• How Artificial Intelligence Is Reshaping Business and Society, Knowledge @ Wharton - 06/03/2026
• Measuring Skill, Luck, and Competitive Balance in Sports, Knowledge @ Wharton - 06/03/2026
• Is AI Killing User Experience?, Knowledge @ Wharton - 06/02/2026
• Building AI Products That Last: Lessons From SXSW, Knowledge @ Wharton - 06/02/2026
• How Personalized AI Tutors Can Help Students Learn, Knowledge @ Wharton - 06/02/2026
• AI Stocks, Oil Prices, and the Fed’s Next Move, Knowledge @ Wharton - 05/29/2026
• Federal Reserve Leadership Transition Amid Economic and Political Pressures, Knowledge @ Wharton - 05/27/2026
• How Baseball Analytics Is Reshaping Hall of Fame Conversations, Knowledge @ Wharton - 05/27/2026