Description
Poster Spotlights 2 (session chair: Taposh Banerjee)
651 | Adaptivity Complexity for Causal Graph Discovery Davin Choo, Kirankumar Shiragur, https://proceedings.mlr.press/v216/choo23a.html
707 | Phase-shifted Adversarial Training Yeachan Kim, Seongyeon Kim, Ihyeok Seo, Bonggun Shin, https://proceedings.mlr.press/v216/kim23b.html
804 | Fast Proximal Gradient Descent for Support Regularized Sparse Graph Dongfang Sun, Yingzhen Yang, https://proceedings.mlr.press/v216/sun23c.html
56 | Stochastic Generative Flow Networks Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio, https://proceedings.mlr.press/v216/pan23a.html
654 | Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen, https://proceedings.mlr.press/v216/das23b.html
186 | Inference for Mark-Censored Temporal Point Processes Alex James Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth, https://proceedings.mlr.press/v216/boyd23a.html
643 | Testing Conventional Wisdom (of the Crowd) Noah Burrell, Grant Schoenebeck, https://proceedings.mlr.press/v216/burrell23a.html
297 | Validation of Composite Systems by Discrepancy Propagation David Reeb, Kanil Patel, Karim Said Barsim, Martin Schiegg, Sebastian Gerwinn, https://proceedings.mlr.press/v216/reeb23a.html
480 | Investigating a Generalization of Probabilistic Material Implication and Bayesian Conditional Matthias Scheutz, Michael Jahn. https://proceedings.mlr.press/v216/reeb23a.html