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

• Adopting AI: Starting Small While Thinking Big, Knowledge @ Wharton - 12/22/2025
• Brené Brown on Values, Vulnerability, and Playing to Win, Knowledge @ Wharton - 12/22/2025
• Data-First Leadership in the Age of AI, Knowledge @ Wharton - 12/22/2025
• Where Artificial Intelligence Stands Heading Into 2026, Knowledge @ Wharton - 12/19/2025
• Inside Time’s Best Inventions and Innovation Selection Process, Knowledge @ Wharton - 12/18/2025
• Free Versus Fair Trade in a Changing Global Economy, Knowledge @ Wharton - 12/17/2025
• Breaking Down the College Football Playoff With Advanced Metrics, Knowledge @ Wharton - 12/17/2025
• Decoding the AI Bubble: Tulips, Dot-Coms, or Something Else?, Knowledge @ Wharton - 12/16/2025
• Can Reminders Help You Save More Money?, Knowledge @ Wharton - 12/15/2025
• How Banks Can Be Change Agents in Climate Consciousness, Knowledge @ Wharton - 12/15/2025