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Poster
Tue 18:30 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
Masahiro Fujisawa · Takeshi Teshima · Issei Sato · Masashi Sugiyama
Poster
Wed 12:45 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi
Oral
Thu 13:00 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Andrew Bennett · Nathan Kallus · Lihong Li · Ali Mousavi
Poster
Wed 6:00 Aggregating Incomplete and Noisy Rankings
Dimitris Fotakis · Alkis Kalavasis · Konstantinos Stavropoulos
Poster
Tue 14:00 An Optimal Reduction of TV-Denoising to Adaptive Online Learning
Dheeraj Baby · Xuandong Zhao · Yu-Xiang Wang
Poster
Tue 14:00 Density of States Estimation for Out of Distribution Detection
Warren Morningstar · Cusuh Ham · Andrew Gallagher · Balaji Lakshminarayanan · Alex Alemi · Joshua Dillon
Oral
Thu 13:30 Density of States Estimation for Out of Distribution Detection
Warren Morningstar · Cusuh Ham · Andrew Gallagher · Balaji Lakshminarayanan · Alex Alemi · Joshua Dillon