More from the Same Authors

• 2021 Spotlight: Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning »
  Kai Wang · Sanket Shah · Haipeng Chen · Andrew Perrault · Finale Doshi-Velez · Milind Tambe
• 2021 : Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation »
  Ramtin Keramati · Omer Gottesman · Leo Celi · Finale Doshi-Velez · Emma Brunskill
• 2022 : An Empirical Analysis of the Advantages of Finite vs.~Infinite Width Bayesian Neural Networks »
  Jiayu Yao · Yaniv Yacoby · Beau Coker · Weiwei Pan · Finale Doshi-Velez
• 2022 : Feature-Level Synthesis of Human and ML Insights »
  Isaac Lage · Sonali Parbhoo · Finale Doshi-Velez
• 2022 : What Makes a Good Explanation?: A Unified View of Properties of Interpretable ML »
  Varshini Subhash · Zixi Chen · Marton Havasi · Weiwei Pan · Finale Doshi-Velez
• 2022 : What Makes a Good Explanation?: A Unified View of Properties of Interpretable ML »
  Zixi Chen · Varshini Subhash · Marton Havasi · Weiwei Pan · Finale Doshi-Velez
• 2022 : (When) Are Contrastive Explanations of Reinforcement Learning Helpful? »
  Sanjana Narayanan · Isaac Lage · Finale Doshi-Velez
• 2022 : Leveraging Human Features at Test-Time »
  Isaac Lage · Sonali Parbhoo · Finale Doshi-Velez
• 2022 : An Empirical Analysis of the Advantages of Finite v.s. Infinite Width Bayesian Neural Networks »
  Jiayu Yao · Yaniv Yacoby · Beau Coker · Weiwei Pan · Finale Doshi-Velez
• 2022 : What Makes a Good Explanation?: A Unified View of Properties of Interpretable ML »
  Varshini Subhash · Zixi Chen · Marton Havasi · Weiwei Pan · Finale Doshi-Velez
• 2022 Poster: Addressing Leakage in Concept Bottleneck Models »
  Marton Havasi · Sonali Parbhoo · Finale Doshi-Velez
• 2022 Poster: Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare »
  Shengpu Tang · Maggie Makar · Michael Sjoding · Finale Doshi-Velez · Jenna Wiens
• 2021 : Retrospective Panel »
  Sergey Levine · Nando de Freitas · Emma Brunskill · Finale Doshi-Velez · Nan Jiang · Rishabh Agarwal
• 2021 : LAF | Panel discussion »
  Aaron Snoswell · Jake Goldenfein · Finale Doshi-Velez · Evi Micha · Ivana Dusparic · Jonathan Stray
• 2021 : Invited talk #2: Finale Doshi-Velez »
  Finale Doshi-Velez
• 2021 Poster: Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning »
  Kai Wang · Sanket Shah · Haipeng Chen · Andrew Perrault · Finale Doshi-Velez · Milind Tambe
• 2020 : Batch RL Models Built for Validation »
  Finale Doshi-Velez
• 2020 : Panel »
  Emma Brunskill · Nan Jiang · Nando de Freitas · Finale Doshi-Velez · Sergey Levine · John Langford · Lihong Li · George Tucker · Rishabh Agarwal · Aviral Kumar
• 2020 : Q & A and Panel Session with Tom Mitchell, Jenn Wortman Vaughan, Sanjoy Dasgupta, and Finale Doshi-Velez »
  Tom Mitchell · Jennifer Wortman Vaughan · Sanjoy Dasgupta · Finale Doshi-Velez · Zachary Lipton
• 2020 Workshop: I Can’t Believe It’s Not Better! Bridging the gap between theory and empiricism in probabilistic machine learning »
  Jessica Forde · Francisco Ruiz · Melanie Fernandez Pradier · Aaron Schein · Finale Doshi-Velez · Isabel Valera · David Blei · Hanna Wallach
• 2020 Poster: Incorporating Interpretable Output Constraints in Bayesian Neural Networks »
  Wanqian Yang · Lars Lorch · Moritz Graule · Himabindu Lakkaraju · Finale Doshi-Velez
• 2020 Spotlight: Incorporating Interpretable Output Constraints in Bayesian Neural Networks »
  Wanqian Yang · Lars Lorch · Moritz Graule · Himabindu Lakkaraju · Finale Doshi-Velez
• 2020 Poster: Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs »
  Jianzhun Du · Joseph Futoma · Finale Doshi-Velez
• 2020 : Discussion Panel: Hugo Larochelle, Finale Doshi-Velez, Devi Parikh, Marc Deisenroth, Julien Mairal, Katja Hofmann, Phillip Isola, and Michael Bowling »
  Hugo Larochelle · Finale Doshi-Velez · Marc Deisenroth · Devi Parikh · Julien Mairal · Katja Hofmann · Phillip Isola · Michael Bowling
• 2019 : Panel - The Role of Communication at Large: Aparna Lakshmiratan, Jason Yosinski, Been Kim, Surya Ganguli, Finale Doshi-Velez »
  Aparna Lakshmiratan · Finale Doshi-Velez · Surya Ganguli · Zachary Lipton · Michela Paganini · Anima Anandkumar · Jason Yosinski
• 2019 : Invited talk #4 »
  Finale Doshi-Velez
• 2019 : Finale Doshi-Velez: Combining Statistical methods with Human Input for Evaluation and Optimization in Batch Settings »
  Finale Doshi-Velez
• 2018 : Finale Doshi-Velez »
  Finale Doshi-Velez
• 2018 : Panel on research process »
  Zachary Lipton · Charles Sutton · Finale Doshi-Velez · Hanna Wallach · Suchi Saria · Rich Caruana · Thomas Rainforth
• 2018 : Finale Doshi-Velez »
  Finale Doshi-Velez
• 2018 Poster: Human-in-the-Loop Interpretability Prior »
  Isaac Lage · Andrew Ross · Samuel J Gershman · Been Kim · Finale Doshi-Velez
• 2018 Spotlight: Human-in-the-Loop Interpretability Prior »
  Isaac Lage · Andrew Ross · Samuel J Gershman · Been Kim · Finale Doshi-Velez
• 2018 Poster: Representation Balancing MDPs for Off-policy Policy Evaluation »
  Yao Liu · Omer Gottesman · Aniruddh Raghu · Matthieu Komorowski · Aldo Faisal · Finale Doshi-Velez · Emma Brunskill
• 2017 : Panel Session »
  Neil Lawrence · Finale Doshi-Velez · Zoubin Ghahramani · Yann LeCun · Max Welling · Yee Whye Teh · Ole Winther
• 2017 : Finale Doshi-Velez »
  Finale Doshi-Velez
• 2017 : Automatic Model Selection in BNNs with Horseshoe Priors »
  Finale Doshi-Velez
• 2017 : Coffee break and Poster Session I »
  Nishith Khandwala · Steve Gallant · Gregory Way · Aniruddh Raghu · Li Shen · Aydan Gasimova · Alican Bozkurt · William Boag · Daniel Lopez-Martinez · Ulrich Bodenhofer · Samaneh Nasiri GhoshehBolagh · Michelle Guo · Christoph Kurz · Kirubin Pillay · Kimis Perros · George H Chen · Alexandre Yahi · Madhumita Sushil · Sanjay Purushotham · Elena Tutubalina · Tejpal Virdi · Marc-Andre Schulz · Samuel Weisenthal · Bharat Srikishan · Petar Veličković · Kartik Ahuja · Andrew Miller · Erin Craig · Disi Ji · Filip Dabek · Chloé Pou-Prom · Hejia Zhang · Janani Kalyanam · Wei-Hung Weng · Harish Bhat · Hugh Chen · Simon Kohl · Mingwu Gao · Tingting Zhu · Ming-Zher Poh · Iñigo Urteaga · Antoine Honoré · Alessandro De Palma · Maruan Al-Shedivat · Pranav Rajpurkar · Matthew McDermott · Vincent Chen · Yanan Sui · Yun-Geun Lee · Li-Fang Cheng · Chen Fang · Sibt ul Hussain · Cesare Furlanello · Zeev Waks · Hiba Chougrad · Hedvig Kjellstrom · Finale Doshi-Velez · Wolfgang Fruehwirt · Yanqing Zhang · Lily Hu · Junfang Chen · Sunho Park · Gatis Mikelsons · Jumana Dakka · Stephanie Hyland · yann chevaleyre · Hyunwoo Lee · Xavier Giro-i-Nieto · David Kale · Michael Hughes · Gabriel Erion · Rishab Mehra · William Zame · Stojan Trajanovski · Prithwish Chakraborty · Kelly Peterson · Muktabh Mayank Srivastava · Amy Jin · Heliodoro Tejeda Lemus · Priyadip Ray · Tamas Madl · Joseph Futoma · Enhao Gong · Syed Rameel Ahmad · Eric Lei · Ferdinand Legros
• 2017 : Contributed talk: Beyond Sparsity: Tree-based Regularization of Deep Models for Interpretability »
  Mike Wu · Sonali Parbhoo · Finale Doshi-Velez
• 2017 : Invited talk: The Role of Explanation in Holding AIs Accountable »
  Finale Doshi-Velez
• 2017 Poster: Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes »
  Taylor Killian · Samuel Daulton · Finale Doshi-Velez · George Konidaris
• 2017 Oral: Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes »
  Taylor Killian · Samuel Daulton · Finale Doshi-Velez · George Konidaris
• 2016 : BNNs for RL: A Success Story and Open Questions »
  Finale Doshi-Velez
• 2015 Workshop: Machine Learning From and For Adaptive User Technologies: From Active Learning & Experimentation to Optimization & Personalization »
  Joseph Jay Williams · Yasin Abbasi Yadkori · Finale Doshi-Velez
• 2015 : Data Driven Phenotyping for Diseases »
  Finale Doshi-Velez
• 2015 Poster: Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction »
  Been Kim · Julie A Shah · Finale Doshi-Velez