Panel
Featured Papers Panels 1A
Moderators: Shiqian Ma ⋅ Ben Usman ⋅ Yaoyao Liu ⋅ Jianyu Xu
Each panel session is split into four 30-minute blocks composed of a set of lightning talks and a deep dive session related to similar topics. The deep dive will begin immediately after lightning talks and the related Q&A (it might be before the 15 min are over). We will not take any questions via microphone but ask you to use slido (see embedding below or go to https://slido.com and use keyword #neurips22). If you are a presenter or moderator, you should see a zoom link that you can use to join the session for Q&A.
Finally some important don'ts: DO NOT share any zoom or slido information publicly. DO NOT join zoom if you are not presenting or moderating.
Lightning Talks 1A-1
Siba Smarak Panigrahi ⋅ Xuhong Li ⋅ Mikhail Usvyatsov ⋅ Shaohan Chen ⋅ Sohan Patnaik ⋅ Haoyi Xiong ⋅ Nikolaos V Sahinidis ⋅ Rafael Ballester-Ripoll ⋅ Chuanhou Gao ⋅ Xingjian Li ⋅ Konrad Schindler ⋅ Xuanyu Wu ⋅ Zeyu Chen ⋅ Dejing Dou
- [ 64766 ] Transfer Learning in Information Criteria-based Feature Selection
- [ 64768 ] tntorch: Tensor Network Learning with PyTorch
- [ 64769 ] InterpretDL: Explaining Deep Models in PaddlePaddle
- [ 64774 ] [Re] Value Alignment Verification
Q&A on RocketChat immediately following Lightning Talks
Panel 1A-1: Near-Optimal Collaborative Learning… & Minimax Regret for…
Clémence Réda ⋅ Daniel Vial
Lightning Talks 1A-2
Urša Zrimšek ⋅ Andy Chen ⋅ Shion Matsumoto ⋅ Rohan Sinha Varma
- [ 64777 ] [Re] Projection-based Algorithm for Updating the TruncatedSVD of Evolving Matrices
- [ 64780 ] [Re] Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
Q&A on RocketChat immediately following Lightning Talks
Panel 1A-2: Posterior Collapse of… & Understanding and Extending…
Fabrizio Frasca ⋅ Liu Ziyin
Lightning Talks 1A-3
Kimia Noorbakhsh ⋅ Ronan Perry ⋅ Qi Lyu ⋅ Jiawei Jiang ⋅ Christian Toth ⋅ Olivier Jeunen ⋅ Xin Liu ⋅ Yuan Cheng ⋅ Lei Li ⋅ Manuel Rodriguez ⋅ Julius von Kügelgen ⋅ Lars Lorch ⋅ Nicolas Donati ⋅ Lukas Burkhalter ⋅ Xiao Fu ⋅ Zhongdao Wang ⋅ Songtao Feng ⋅ Ciarán Gilligan-Lee ⋅ Rishabh Mehrotra ⋅ Fangcheng Fu ⋅ Jing Yang ⋅ Bernhard Schölkopf ⋅ Ya-Li Li ⋅ Christian Knoll ⋅ Maks Ovsjanikov ⋅ Andreas Krause ⋅ Shengjin Wang ⋅ Hong Zhang ⋅ Mounia Lalmas ⋅ Bolin Ding ⋅ Bo Du ⋅ Yingbin Liang ⋅ Franz Pernkopf ⋅ Robert Peharz ⋅ Anwar Hithnawi ⋅ Julius von Kügelgen ⋅ Bo Li ⋅ Ce Zhang
- [ 64809 ] Active Bayesian Causal Inference
- [ 64810 ] Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis
- [ 64811 ] Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
- [ 64812 ] Provable Benefit of Multitask Representation Learning in Reinforcement Learning
- [ 64813 ] Self-Supervised Learning via Maximum Entropy Coding
- [ 64816 ] Counterfactual Temporal Point Processes
- [ 64817 ] Provable Subspace Identification Under Post-Nonlinear Mixtures
- [ 64818 ] VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
- [ 64819 ] Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
Q&A on RocketChat immediately following Lightning Talks
Panel 1A-3: A gradient sampling… & Local Bayesian optimization…
Swati Padmanabhan ⋅ Quan Nguyen
Lightning Talks 1A-4
Siwei Wang ⋅ Jing Liu ⋅ Nianqiao Ju ⋅ Shiqian Li ⋅ Eloïse Berthier ⋅ Muhammad Faaiz Taufiq ⋅ Arsene Fansi Tchango ⋅ Chen Liang ⋅ Chulin Xie ⋅ Jordan Awan ⋅ Jean-Francois Ton ⋅ Ziad Kobeissi ⋅ Wenguan Wang ⋅ Xinwang Liu ⋅ Kewen Wu ⋅ Rishab Goel ⋅ Jiaxu Miao ⋅ Suyuan Liu ⋅ Julien Martel ⋅ Ruobin Gong ⋅ Francis Bach ⋅ Chi Zhang ⋅ Rob Cornish ⋅ Sanmi Koyejo ⋅ Zhi Wen ⋅ Yee Whye Teh ⋅ Yi Yang ⋅ Jiaqi Jin ⋅ Bo Li ⋅ Yixin Zhu ⋅ Vinayak Rao ⋅ Wenxuan Tu ⋅ Gaetan Marceau Caron ⋅ Arnaud Doucet ⋅ Xinzhong Zhu ⋅ Joumana Ghosn ⋅ En Zhu
- [ 64820 ] CoPur: Certifiably Robust Collaborative Inference via Feature Purification
- [ 64821 ] Data Augmentation MCMC for Bayesian Inference from Privatized Data
- [ 64822 ] Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
- [ 64824 ] On the Learning Mechanisms in Physical Reasoning
- [ 64825 ] Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
- [ 64827 ] GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
- [ 64828 ] Conformal Off-Policy Prediction in Contextual Bandits
- [ 64830 ] A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Q&A on RocketChat immediately following Lightning Talks
Panel 1A-4: Hardness of Noise-Free… & Adversarially Robust Learning:…
Aravind Gollakota ⋅ Omar Montasser