NIPS Proceedingsβ

András György

7 Papers

  • Detecting Overfitting via Adversarial Examples (2019)
  • Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging (2019)
  • Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities (2016)
  • SDP Relaxation with Randomized Rounding for Energy Disaggregation (2016)
  • Online Learning with Gaussian Payoffs and Side Observations (2015)
  • Online Learning with Costly Features and Labels (2013)
  • Online Markov Decision Processes under Bandit Feedback (2010)