Skip to yearly menu bar Skip to main content


(10 events)   Timezone:  
Show all
Toggle Poster Visibility
Oral
Tue Jul 25 08:30 PM -- 08:38 PM (PDT) @ Exhibit Hall 2 None
Bayesian Design Principles for Frequentist Sequential Learning
In Oral A1 Causal Learning, RL, Personalization
Yunbei Xu · Assaf Zeevi
[ Slides]  [ PDF] 
Oral
Tue Jul 25 08:38 PM -- 08:46 PM (PDT) @ Exhibit Hall 2 None
Towards Theoretical Understanding of Inverse Reinforcement Learning
In Oral A1 Causal Learning, RL, Personalization
Alberto Maria Metelli · Filippo Lazzati · Marcello Restelli
[ Slides]  [ PDF] 
Oral
Tue Jul 25 08:46 PM -- 08:54 PM (PDT) @ Exhibit Hall 2 None
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
In Oral A1 Causal Learning, RL, Personalization
Haotian Ye · Xiaoyu Chen · Liwei Wang · Simon Du
[ Slides]  [ PDF] 
Oral
Tue Jul 25 08:54 PM -- 09:02 PM (PDT) @ Exhibit Hall 2 None
Delayed Feedback in Kernel Bandits
In Oral A1 Causal Learning, RL, Personalization
Sattar Vakili · Danyal Ahmed · Alberto Bernacchia · Ciara Pike-Burke
[ PDF] 
Oral
Tue Jul 25 09:02 PM -- 09:10 PM (PDT) @ Exhibit Hall 2 None
Provably Learning Object-Centric Representations
In Oral A1 Causal Learning, RL, Personalization
Jack Brady · Roland S. Zimmermann · Yash Sharma · Bernhard Schölkopf · Julius von Kügelgen · Wieland Brendel
[ PDF] 
Oral
Tue Jul 25 09:10 PM -- 09:18 PM (PDT) @ Exhibit Hall 2 None
Task-specific experimental design for treatment effect estimation
In Oral A1 Causal Learning, RL, Personalization
Bethany Connolly · Kimberley Moore · Tobias Schwedes · Alexander Adam · Gary Willis · Ilya Feige · Christopher Frye
[ PDF] 
Oral
Tue Jul 25 09:18 PM -- 09:26 PM (PDT) @ Exhibit Hall 2 None
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
In Oral A1 Causal Learning, RL, Personalization
Aude Sportisse · Hugo Schmutz · Olivier HUMBERT · Charles Bouveyron · Pierre-Alexandre Mattei
[ PDF] 
Oral
Tue Jul 25 09:26 PM -- 09:34 PM (PDT) @ Exhibit Hall 2 None
Interventional Causal Representation Learning
In Oral A1 Causal Learning, RL, Personalization
Kartik Ahuja · Divyat Mahajan · Yixin Wang · Yoshua Bengio
[ PDF] 
Oral
Tue Jul 25 09:34 PM -- 09:42 PM (PDT) @ Exhibit Hall 2 None
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
In Oral A1 Causal Learning, RL, Personalization
Shahine Bouabid · Jake Fawkes · Dino Sejdinovic
[ Slides]  [ PDF] 
Oral
Tue Jul 25 09:42 PM -- 09:50 PM (PDT) @ Exhibit Hall 2 None
Sequential Underspecified Instrument Selection for Cause-Effect Estimation
In Oral A1 Causal Learning, RL, Personalization
Elisabeth Ailer · Jason Hartford · Niki Kilbertus
[ Slides]  [ PDF]