Talks

"ML-Powered Outlier Detection: False Discovery Rate Control and Derandomization"

• • ICSDS, Lisbon, Portugal, December 18, 2023.

"Conformal Prediction is Robust to Label Noise"

• • COPA Conference, Cyprus, September 15, 2023.

"Online Conditional Randomization Testing by Betting"

• • IMSI Workshop on Permutation and Causal Inference Connections and Applications, Chicago, August 25, 2023.

"Uncertainty Quantification in Modern ML"

• • SEA AI, June 30, 2023.

"Conformal Prediction is Robust to Label Noise"

• • ISSI Seminar, March 29, 2023.

  • Applied Math Seminar, TAU, June 6, 2023.

"Betting as a mechanism to make reliable scientific discoveries"

• • ECE Colloquium, Technion, Israel, March 22, 2023.

"Reliability in Modern Machine Learning"

• • AI and Beyond, Technion, Israel, March 2, 2023.

"Uncertainty Quantification in Modern ML: Offline and Online Settings"

• • EE Seminar, Ben Gurion University, Israel, December 12, 2022.

  • Citi Innovation Labs, Tel Aviv, Israel, December 14, 2022.

"Risk Control for Online Learning Models"

• • Mathematics of Interpretable Machine Learning, SIAM MDS, San Diego, September 30, 2022.

  • CMStatistics, King's College, London, UK, December 18, 2022.

  • BASP Frontiers conference, Villars-sur-Ollon, Switzerland, February 6, 2023.

"Uncertainty Quantification in Modern ML: Offline and Online Settings"

• • DELTA talk, UCL, London, June 14, 2022.

"Uncertainty Quantification in Modern ML: Regression, Classification, and Image Reconstruction"

• • Verily, Haifa, April 26, 2022.

"A Tour of Conformal Prediction: Regression, Classification, and Equitable Treatment"

• • Computation Imaging Seminar, Purdue Uni., Indiana, USA, March 1, 2022.

"Conformal Prediction using Conditional Histograms"

• • NeurIPS, December 9, 2021.

"A Tour of Conformal Prediction: Regression, Classification, and Equitable Treatment"

• • Workshop on Statistical Machine Learning, UFSCar, Brazil, July 4, 2021.

"Thought Leadership Panel on Artificial Intelligence"

• Moderated by Prag Sharma, Global Head of Citi’s Artificial Intelligence Center of Excellence.

• Citi Innovation Week, June 24, 2021.

"A Tour of Conformal Prediction: Regression, Classification, and Equitable Treatment"

• • Julie Josse's Group Meeting on Missing Values and Causality, April 21, 2021.

"Achieving Equalized Odds by Resampling Sensitive Attributes"

• • NeurIPS, December 9, 2020.

"Classification with Valid and Adaptive Coverage"

• • NeurIPS, December 9, 2020.

"Regularization by Denoising [RED]"

• • SIAM Activity Group on Imaging Science Early Career Prize Lecture, Originally scheduled in Toronto, Ontario, Canada, July 10, 2020

Slides: PDF.

"Reliability, Equity, and Reproducibility in Modern Machine Learning"

• • University of California, San Diego, December 3, 2019.

  • Hebrew University of Jerusalem, January 6, 13, 2020.

  • Technion -- Israel Institute of Technology, January 7, 16, 2020.

  • Tel-Aviv University, January 9, 15, 2020.

  • Weizmann Institute of Science, January 12, 2020.

  • University of Washington, January 21, 2020.

  • New York University, January 28, 2020.

  • Caltech, February 5, 2020.

  • MIT, February 26, 2020.

  • University of California, Berkeley, March 4, 2020.

  • University of Southern California, March 25, 2020.

Slides: PDF.

"Conformalized Quantile Regression"

• • Workshop on Semantic Information, CVPR, June 16, 2019, Long Beach, USA.

Slides: PDF.

"Deep Knockoffs Machines for Replicable Selections"

• • Joint Statistical Meeting (JSM), July 27 - August 1, 2019, Denver, USA.

  • IEEE Santa Clara Valley Information Society, March 20, 2019, Stanford, USA.

  • Cape Analytics, May 29, 2019, Mountain View, California, USA.

  • MURI Team Meeting, October 11-12, 2018, Imperial College London, UK.

Short version: PDF, PPTX. Long version: PDF, PPTX.

"Classification Stability: From Shallow to Deep Sparse Models"

• • Canadian Mathematical Society, Winter Meeting, December 7-10, 2018, Vancouver, Canada.

Slides: PDF, PPTX.

"RED-UCATION: A Novel CNN Architecture Based on Denoising Nonlinearities"

• • ICASSP, April 15-20, 2018, Calgary, Canada.

Slides: PDF, PPTX.

"A Quest for a Universal Model for Signals: From Sparsity to ConvNets"

• • Seminar, July 18, 2017, Duke University, USA. Slides (see Vardan Papyan's and Michael Elad's talks for other versions): PDF, PPTX

  • Seminar, August 24, 2017, Montreal Institute for Learning Algorithms (MILA), Canada. Slides: PDF, PPTX.

  • Seminar, August 30, 2017, Technion - Israel Institute of Technology, Israel.  Slides: PDF, PPTX.

  • The 1st Winter School in Computer Science and Engineering on Computer Vision, the Hebrew University of Jerusalem, Israel. Highlight slides: PDF, PPTX. Poster: PDF.

"The Little Engine that Could: Regularization by Denoising (RED)"

• • SIAM Annual Meeting 2017, July 10-14, 2017, Pittsburgh, Pennsylvania, USA. 

Slides (see Michael Elad's and Peyman Milanfar's talks for other versions): PDF, PPTX, Video.

"Con-Patch: When a Patch Meets its Context"

• • Israel Computer Vision Day, April 17, 2016, Herzliya, Israel. 

Slides: PDF. 

"Boosting of Image Denoising Algorithms"

• • ICASSP, April 19-24, 2015, Brisbane, Australia. 

  • Signal Processing with Adaptive Sparse Structured Rep. (SPARS), July 6-9, 2015, Cambridge, UK. 

  • SIAM Conference on Imaging Science (SIAM-IS16), May 23-26, 2016, Albuquerque, New Mexico, USA. 

Slides (see Michael Elad's talks): PDF (long version), PPTX (long version), PDF (short version), PPTX (short version).

Poster: PDF. 

"Single Image Interpolation via Adaptive Non-Local Sparsity-Based Modeling"

• • SIAM Conference on Imaging Science (SIAM-IS14), May 12-14, 2014, Baptist University, Hong Kong. 

Slides: PDF, PPTX.

Poster: PDF.

"Improving K-SVD Denoising by Post-Processing its Method-Noise"

• • Signal Processing with Adaptive Sparse Structured Rep. (SPARS), July 8-11, 2013, EPFL, Lausanne, Switzerland. 

  • ICIP, September 15-18, 2013, Melbourne, Australia. 

Slides: PDF, PPTX.

Poster: PDF.