Online Saddle Point Problem with Applications to Constrained Online Convex Optimization. - Adrian Rivera Cardoso; He Wang; Huan Xu (CoRR, 2018)

Differentially Private Online Submodular Optimization. - Adrian Rivera Cardoso; Rachel Cummings (CoRR, 2018)

Differentially Private Online Submodular Minimization. - Adrian Rivera Cardoso; Rachel Cummings (AISTATS, 2019)

Risk-Averse Stochastic Convex Bandit. - Adrian Rivera Cardoso; Huan Xu (AISTATS, 2019)

Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games. - Adrian Rivera Cardoso; Jacob D. Abernethy; He Wang; Huan Xu (ICML, 2019)

Large Scale Markov Decision Processes with Changing Rewards. - Adrian Rivera Cardoso; He Wang; Huan Xu (NeurIPS, 2019)

Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs. - Adrian Rivera Cardoso; Jacob D. Abernethy; He Wang; Huan Xu (CoRR, 2019)

A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale. - Ryan Rogers 002; Adrian Rivera Cardoso; Koray Mancuhan; Akash Kaura; Nikhil Gahlawat; Neha Jain; Paul Ko; Parvez Ahammad (CoRR, 2020)

Advances in online convex optimization, games, and problems with bandit feedback. - Adrian Rivera Cardoso (2020)

Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown. - Adrian Rivera Cardoso; Ryan Rogers 002 (AISTATS, 2022)

The Online Saddle Point Problem and Online Convex Optimization with Knapsacks. - Adrian Rivera Cardoso; He Wang 009; Huan Xu 001 (Math. Oper. Res., 2025)