More from the Same Authors

• 2022 : PEST: Combining Parameter-Efficient Fine-Tuning with Self-Training and Co-Training »
  Hunter Lang · Monica Agrawal · Yoon Kim · David Sontag
• 2022 Poster: Falsification before Extrapolation in Causal Effect Estimation »
  Zeshan M Hussain · Michael Oberst · Ming-Chieh Shih · David Sontag
• 2022 Poster: Evaluating Robustness to Dataset Shift via Parametric Robustness Sets »
  Nikolaj Thams · Michael Oberst · David Sontag
• 2022 Poster: Training Subset Selection for Weak Supervision »
  Hunter Lang · Aravindan Vijayaraghavan · David Sontag
• 2022 Poster: ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography »
  Ahmed M. Alaa · Anthony Philippakis · David Sontag
• 2021 Poster: Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance »
  Justin Lim · Christina Ji · Michael Oberst · Saul Blecker · Leora Horwitz · David Sontag
• 2018 Poster: Why Is My Classifier Discriminatory? »
  Irene Chen · Fredrik Johansson · David Sontag
• 2018 Spotlight: Why Is My Classifier Discriminatory? »
  Irene Chen · Fredrik Johansson · David Sontag
• 2017 : Invited Talk 4 »
  David Sontag
• 2017 Poster: Causal Effect Inference with Deep Latent-Variable Models »
  Christos Louizos · Uri Shalit · Joris Mooij · David Sontag · Richard Zemel · Max Welling
• 2015 Workshop: Machine Learning For Healthcare (MLHC) »
  Theofanis Karaletsos · Rajesh Ranganath · Suchi Saria · David Sontag
• 2015 Poster: Barrier Frank-Wolfe for Marginal Inference »
  Rahul G Krishnan · Simon Lacoste-Julien · David Sontag
• 2013 Poster: Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests »
  Yacine Jernite · Yoni Halpern · David Sontag
• 2011 Poster: Complexity of Inference in Latent Dirichlet Allocation »
  David Sontag · Daniel Roy
• 2011 Spotlight: Complexity of Inference in Latent Dirichlet Allocation »
  David Sontag · Daniel Roy
• 2010 Spotlight: More data means less inference: A pseudo-max approach to structured learning »
  David Sontag · Ofer Meshi · Tommi Jaakkola · Amir Globerson
• 2010 Poster: More data means less inference: A pseudo-max approach to structured learning »
  David Sontag · Ofer Meshi · Tommi Jaakkola · Amir Globerson
• 2009 Workshop: Approximate Learning of Large Scale Graphical Models »
  Russ Salakhutdinov · Amir Globerson · David Sontag
• 2008 Workshop: Approximate inference - how far have we come? »
  Amir Globerson · David Sontag · Tommi Jaakkola
• 2008 Poster: Clusters and Coarse Partitions in LP Relaxations »
  David Sontag · Amir Globerson · Tommi Jaakkola
• 2008 Spotlight: Clusters and Coarse Partitions in LP Relaxations »
  David Sontag · Amir Globerson · Tommi Jaakkola
• 2007 Oral: New Outer Bounds on the Marginal Polytope »
  David Sontag · Tommi Jaakkola
• 2007 Poster: New Outer Bounds on the Marginal Polytope »
  David Sontag · Tommi Jaakkola