More from the Same Authors

• 2023 : Towards LLMs as Operational Copilots for Fusion Reactors »
  Viraj Mehta · Joseph Abbate · Allen Wang · Andrew Rothstein · Ian Char · Jeff Schneider · Egemen Kolemen · Cristina Rea · Darren Garnier
• 2023 : Reasoning with Latent Diffusion in Offline Reinforcement Learning »
  Siddarth Venkatraman · Shivesh Khaitan · Ravi Tej Akella · John Dolan · Jeff Schneider · Glen Berseth
• 2023 : Decentralized Multi-Agent Active Search and Tracking when Targets Outnumber Agents »
  Arundhati Banerjee · Jeff Schneider
• 2023 : Correlated Trajectory Uncertainty for Adaptive Sequential Decision Making »
  Ian Char · Youngseog Chung · Rohan Shah · Willie Neiswanger · Jeff Schneider
• 2023 Poster: PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks »
  Ian Char · Jeff Schneider
• 2022 Poster: Exploration via Planning for Information about the Optimal Trajectory »
  Viraj Mehta · Ian Char · Joseph Abbate · Rory Conlin · Mark Boyer · Stefano Ermon · Jeff Schneider · Willie Neiswanger
• 2021 : Bayesian Active Reinforcement Learning »
  Viraj Mehta · Biswajit Paria · Jeff Schneider · Willie Neiswanger
• 2021 : Reinforcement Learning for Autonomous Driving »
  Jeff Schneider · Jeff Schneider
• 2021 Poster: Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification »
  Youngseog Chung · Willie Neiswanger · Ian Char · Jeff Schneider
• 2019 : Coffee + Posters »
  Benjamin Caine · Renhao Wang · Nazmus Sakib · Nana Otawara · Meha Kaushik · elmira amirloo · Nemanja Djuric · Johanna Rock · Tanmay Agarwal · Angelos Filos · Panagiotis Tigkas · Donsuk Lee · Wootae Jeon · Nikita Jaipuria · Pin Wang · Jinxin Zhao · Liangjun Zhang · Ashutosh Singh · Ershad Banijamali · Mohsen Rohani · Aman Sinha · Ameya Joshi · Ching-Yao Chan · Mohammed Abdou · Changhao Chen · Jong-Chan Kim · eslam mohamed · Matt OKelly · Nirvan Singhania · Hiroshi Tsukahara · Atsushi Keyaki · Praveen Palanisamy · Justin Norden · Micol Marchetti-Bowick · Yiming Gu · Hitesh Arora · Shubhankar Deshpande · Jeff Schneider · Shangling Jui · Vaneet Aggarwal · Tryambak Gangopadhyay · Qiaojing Yan
• 2019 Poster: Offline Contextual Bayesian Optimization »
  Ian Char · Youngseog Chung · Willie Neiswanger · Kirthevasan Kandasamy · Oak Nelson · Mark Boyer · Egemen Kolemen · Jeff Schneider
• 2018 Poster: Neural Architecture Search with Bayesian Optimisation and Optimal Transport »
  Kirthevasan Kandasamy · Willie Neiswanger · Jeff Schneider · Barnabas Poczos · Eric Xing
• 2018 Spotlight: Neural Architecture Search with Bayesian Optimisation and Optimal Transport »
  Kirthevasan Kandasamy · Willie Neiswanger · Jeff Schneider · Barnabas Poczos · Eric Xing
• 2016 Poster: The Multi-fidelity Multi-armed Bandit »
  Kirthevasan Kandasamy · Gautam Dasarathy · Barnabas Poczos · Jeff Schneider
• 2016 Poster: Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations »
  Kirthevasan Kandasamy · Gautam Dasarathy · Junier B Oliva · Jeff Schneider · Barnabas Poczos
• 2014 Poster: Flexible Transfer Learning under Support and Model Shift »
  Xuezhi Wang · Jeff Schneider
• 2013 Poster: Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition »
  Tzu-Kuo Huang · Jeff Schneider
• 2013 Poster: Σ-Optimality for Active Learning on Gaussian Random Fields »
  Yifei Ma · Roman Garnett · Jeff Schneider
• 2011 Poster: Group Anomaly Detection using Flexible Genre Models »
  Liang Xiong · Barnabas Poczos · Jeff Schneider
• 2011 Poster: Learning Auto-regressive Models from Sequence and Non-sequence Data »
  Tzu-Kuo Huang · Jeff Schneider
• 2010 Poster: Learning Multiple Tasks with a Sparse Matrix-Normal Penalty »
  Yi Zhang · Jeff Schneider
• 2008 Poster: Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text »
  Yi Zhang · Jeff Schneider · Artur Dubrawski