Adith Swaminathan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
14
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs. | Trenton Chang, Tobias Schnabel, Adith Swaminathan, Jenna Wiens |
| 2024 | UAI | On Overcoming Miscalibrated Conversational Priors in LLM-based ChatBots. | Christine Herlihy, Jennifer Neville, Tobias Schnabel, Adith Swaminathan |
| 2023 | ICML | Hindsight Learning for MDPs with Exogenous Inputs. | Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo de Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan |
| 2020 | AAAI | Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. | Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz |
| 2020 | ICML | Working Memory Graphs. | Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew J. Hausknecht |
| 2020 | ICML | Learning Calibratable Policies using Programmatic Style-Consistency. | Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht |
| 2020 | RecSys | REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. | Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan |
| 2020 | SIGMOD | Active Learning for ML Enhanced Database Systems. | Lin Ma, Bailu Ding, Sudipto Das, Adith Swaminathan |
| 2019 | AAAI | A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. | Maggie Makar, Adith Swaminathan, Emre Kiciman |
| 2019 | RecSys | REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation. | Thorsten Joachims, Maria Dimakopoulou, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile |
| 2019 | UAI | Off-Policy Policy Gradient with Stationary Distribution Correction. | Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill |
| 2018 | ICLR | Deep Learning with Logged Bandit Feedback. | Thorsten Joachims, Adith Swaminathan, Maarten de Rijke |
| 2018 | IJCAI | Unbiased Learning-to-Rank with Biased Feedback. | Thorsten Joachims, Adith Swaminathan, Tobias Schnabel |
| 2018 | RecSys | REVEAL 2018: offline evaluation for recommender systems. | Thorsten Joachims, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile |
| 2017 | WSDM | Unbiased Learning-to-Rank with Biased Feedback. | Thorsten Joachims, Adith Swaminathan, Tobias Schnabel |
| 2016 | ICML | Recommendations as Treatments: Debiasing Learning and Evaluation. | Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims |
| 2016 | ICTIR | Unbiased Comparative Evaluation of Ranking Functions. | Tobias Schnabel, Adith Swaminathan, Peter I. Frazier, Thorsten Joachims |
| 2016 | SIGIR | Counterfactual Evaluation and Learning for Search, Recommendation and Ad Placement. | Thorsten Joachims, Adith Swaminathan |
| 2015 | ICML | Counterfactual Risk Minimization: Learning from Logged Bandit Feedback. | Adith Swaminathan, Thorsten Joachims |
| 2015 | WWW | Unbiased Ranking Evaluation on a Budget. | Tobias Schnabel, Adith Swaminathan, Thorsten Joachims |
| 2015 | WWW | Counterfactual Risk Minimization. | Adith Swaminathan, Thorsten Joachims |
| 2014 | ICFCA | Mining Videos from the Web for Electronic Textbooks. | Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan |
| 2013 | KDD | Beyond myopic inference in big data pipelines. | Karthik Raman, Adith Swaminathan, Johannes Gehrke, Thorsten Joachims |
| 2012 | CIKM | Temporal corpus summarization using submodular word coverage. | Ruben Sipos, Adith Swaminathan, Pannaga Shivaswamy, Thorsten Joachims |