Adrian Rivera Cardoso

14 papers A* 2A 3Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
The Online Saddle Point Problem and Online Convex Optimization with Knapsacks.
Math. Oper. Res.
Adrian Rivera Cardoso, He Wang, Huan Xu
2022 A conf
Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown.
AISTATS
Adrian Rivera Cardoso, Ryan Rogers
2021 J jnl
Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown.
CoRR
Adrian Rivera Cardoso, Ryan Rogers
2020 J jnl
A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale.
CoRR
Ryan Rogers, Adrian Rivera Cardoso, Koray Mancuhan, Akash Kaura, Nikhil Gahlawat, Neha Jain, Paul Ko, Parvez Ahammad
2020 — —
Advances in online convex optimization, games, and problems with bandit feedback.
Adrian Rivera Cardoso
2019 J jnl
Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs.
CoRR
Adrian Rivera Cardoso, Jacob D. Abernethy, He Wang, Huan Xu
2019 A* conf
Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games.
ICML
Adrian Rivera Cardoso, Jacob D. Abernethy, He Wang, Huan Xu
2019 A conf
Differentially Private Online Submodular Minimization.
AISTATS
Adrian Rivera Cardoso, Rachel Cummings
2019 A* conf
Large Scale Markov Decision Processes with Changing Rewards.
NeurIPS
Adrian Rivera Cardoso, He Wang, Huan Xu
2019 J jnl
Large Scale Markov Decision Processes with Changing Rewards.
CoRR
Adrian Rivera Cardoso, He Wang, Huan Xu
2019 A conf
Risk-Averse Stochastic Convex Bandit.
AISTATS
Adrian Rivera Cardoso, Huan Xu
2018 J jnl
Differentially Private Online Submodular Optimization.
CoRR
Adrian Rivera Cardoso, Rachel Cummings
2018 J jnl
Online Saddle Point Problem with Applications to Constrained Online Convex Optimization.
CoRR
Adrian Rivera Cardoso, He Wang, Huan Xu
2018 J jnl
Risk-Averse Stochastic Convex Bandit.
CoRR
Adrian Rivera Cardoso, Huan Xu