Information Theory Seminar


2022-10-12 14:00: Strong and epsilon-dependent converses for source or channel coding and for hypothesis testing (Prof. Michele Wigger, Telecom Paris)

2022-10-19 14:00: Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities (Dr Varun Jog, University of Cambridge)

2022-10-26 14:00: On the monotonicity of entropy in the discrete entropic central limit theorem (Mr Lampros Gavalakis, University of Cambridge)

2022-11-02 14:00: Energy-Optimal Signaling using the Example of Optical Communication (Dr Stefan Moser, ETH Zurich)

2022-11-09 14:00: Communication in the presence of adversarial jamming: The curious case of the erasure channel (Dr Sidharth Jaggi, University of Bristol)

2022-11-16 14:00: Typical error exponents (Dr Albert Guillén i Fàbregas, University of Cambridge)

2022-11-23 14:00: How the strength of the inductive bias affects the generalization performance of interpolators (Dr Fanny Yang, ETH Zurich)

2022-11-30 14:00: Uniform entropic continuity bounds via majorization flow (Prof. Nilanjana Datta, University of Cambridge)

2023-02-08 14:00: An Entropy-Based Model for Hierarchical Learning (Dr Amir Asadi, University of Cambridge)

2023-02-15 14:00: Bayes-optimal estimation in generalized linear models (Ramji Venkataramanan, Department of Engineering, Cambridge)

2023-02-22 14:00: Semantic and Pragmatic Communications (Prof. Deniz Gunduz, Imperial College London)

2023-03-01 14:00: Discriminating Classical and Quantum Channels (Bjarne Bergh, University of Cambridge)

2023-03-08 14:00: Generalization Bounds via Online Learning (Dr Gergely Neu, Universitat Pompeu Fabra)

2023-03-15 14:00: Fundamental limits in structured PCA, and how to reach them (Dr Jean Barbier, International Center for Theoretical Physics (ICTP))

2023-04-21 10:00: Cambridge Information Theory Colloquium (Multiple speakers (Deepmind, ETH Zurich, University of Surrey, Università degli Studi di Napoli Federico II))

2023-04-26 14:00: Approximate fixed points of classical and quantum channels and robustness theory of quantum Markov chains  (Robert Salzmann, DAMTP, University of Cambridge)

2023-05-03 14:00: Error exponents for source coding under logarithmic loss (Dr Hamdi Joudeh)

2023-05-17 14:00: Causal Identification: Are We There Yet? (Prof. Negar Kiyavash, EPFL)

2023-05-22 14:00: The multicast transmission approach to converse theorems (Dr Anelia Somekh-Baruch, Bar-Ilan University)

2023-10-04 14:00: Load Balancing under Data Locality: Extending Mean-Field Framework to Constrained Large-Scale Systems (Dr Debankur Mukherjee, Georgia Tech)

2023-10-11 14:00: Sharp convergence guarantees for iterative (non)-convex empirical risk minimization with random data (Dr. Kabir Verchand, University of Cambridge)

2023-10-25 14:00: Thompson Sampling for Stochastic Bandits with Noisy Contexts: An Information-Theoretic Analysis (Dr Sharu Jose, University of Birmingham)

2023-11-01 14:00: Classical and quantum zero error communication (Satvik Singh, University of Cambridge)

2023-11-08 14:00: A functional perspective on Information Measures (Dr Amedeo Esposito, Institute of Science and Technology Austria)

2023-11-15 14:00: Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression  (Gabriel Arpino, University of Cambridge)

2023-11-22 14:00: Provably Safe Certification for Machine Learning Models under Adversarial Attacks (Prof. Miguel Rodrigues, UCL)

2023-11-29 14:00: The Role of Information Measures on the Regularization of Empirical Risk Minimization (Dr Iñaki Esnaola, University of Sheffield)

2024-01-17 14:00: Convexity properties of information functionals for Gaussian mixtures (Dr Lampros Gavalakis, Gustave Eiffel University)

2024-02-07 14:00: Enabling Fast, Robust, and Personalized Federated Learning (Prof Ramtin Pedarsani, UC Santa Barbara )

2024-02-14 14:00: A theory of social balance (Dr George Cantwell, University of Cambridge)

2024-02-21 14:00: Information-theoretic techniques and context-tree methods for time series (Ioannis Papageorgiou, University of Cambridge)

2024-02-28 14:00: Quantum Machine Learning: An Information-Theoretic Perspective (Prof. Osvaldo Simeone, King's College London)

2024-03-13 14:00: Feature learning and normalization layers (Dr Matus Telgarsky, NYU)

2024-04-24 14:00: Some combinatorial problems in information theory (Prof. Marco Dalai, University of Brescia)

2024-04-30 14:00: Information Measures in Selected Learning Problems (Prof Chao Tian, Texas A&M University)

2024-05-08 14:00: Stability of the Poincaré-Korn inequality (Prof Thomas Courtade, UC Berkeley)

2024-05-10 14:00: Information Theory Colloquium (Prof. Oliver Johnson, Prof. Thomas Courtade, Prof. Yossef Steinberg)

2024-05-13 14:00: Quickest Change Detection Using Mismatched CUSUM (Prof Sean Meyn, University of Florida)

2024-05-22 14:00: Communication over many-user channels via Approximate Message Passing (Xiaoqi (Shirley) Liu, University of Cambridge)

2024-10-09 14:00:  Some contributions of information theory to pure mathematics (Dr Thomas Karam, University of Oxford)

2024-10-16 14:00: Structural, Temporal and Semantic Information (Prof. Wojciech Szpankowski, Purdue University)

2024-11-06 14:00: Symmetrized KL information: Channel Capacity and Learning Theory (Dr Gholamali Aminian, Alan Turing Institute)

2024-11-13 14:00: Diffusion-based Maximum Marginal Likelihood Estimation: Overdamped, Accelerated, and Proximal (Dr Deniz Akyildiz, Imperial College London)

2024-11-27 14:00: From Classical to Quantum: Uniform Continuity Bounds on Entropies in Infinite Dimensions (Prof. Nilanjana Datta, DAMTP)

2024-12-09 16:00: Exploiting Statistical Hardness for Increased Privacy in Wireless Systems (Prof. Urbashi Mitra, University of Southern California)

2025-02-05 14:00: Generalization and Informativeness of Conformal Prediction (Dr Fredrik Hellstrom, UCL)

2025-02-12 14:00: Sampling using Diffusion Processes (Dr Nicolas Macris, EPFL)

2025-02-26 14:00:  Variations of the Expectation due to Changes in the Measure: Applications to Generalization and Game Theory (Dr Samir Perlaza, INRIA)

2025-03-05 14:00: Data Compression with Relative Entropy Coding (Gergely Flamich, University of Cambridge)

2025-03-19 14:00: Entropy comparison inequalities with applications to additive noise channels (Dr Lampros Gavalakis, University of Cambridge)

2025-03-26 14:00:  Group Testing: Something old, something new, something borrowed (Dr Nikhil Karamchandani, IIT Bombay)

2025-05-07 14:00: Graph Data Compression: Practical Methods and Information-Theoretic Limits (Prof. Justin Coon, University of Oxford)

2025-05-15 09:00: Cambridge Information Theory Colloquium (Speaker to be confirmed)

2025-05-28 14:00: Learning Privately in High Dimensions (Prof. Marco Mondelli, Institute of Science and Technology Austria)

2025-09-19 14:00: Inequalities Revisited (Prof. Raymond W. Yeung, The Chinese University of Hong Kong)

2025-10-01 14:00: Efficient gradient coding for mitigating stragglers within distributed machine learning (Prof. Aditya Ramamoorthy, Iowa State University)

2025-10-15 14:00: Statistical Signal Processing for Quantum Error Mitigation (Prof. Dror Baron, North Carolina State University)

2025-10-22 14:00: De Bruijn's identity and stability in the Entropy Power Inequality without finite variance (Dr Lampros Gavalakis, DPMMS, University of Cambridge)

2025-11-05 14:00: Zero-Error Communications over Modulo-Additive Noise Channels with Assistance (Prof. Amos Lapidoth, ETH Zurich)

2025-11-10 14:00: Statistical Investigations into the Unseen: Missing Mass for Markov Samples and Natural Distribution Estimation (Prof. Andrew Thangaraj, Indian Institute of Technology Madras)

2025-11-12 14:00: Breaking the Sample Size Barrier in Reinforcement Learning  (Yuxin Chen, University of Pennsylvania)

2025-11-26 14:00: Optimal Quantization for Matrix Multiplication (Or Ordentlich, Hebrew University of Jerusalem)

2025-12-03 14:00: Information Constraints in Human Decision-Making: From Theory to Computation (Dr Stefan Bucher, Faculty of Economics, University of Cambridge)

2026-01-28 14:00: The Minimum Description Length Principle and Machine Learning (Dr Yoshinari Takeishi, Kyushu University)

2026-02-04 14:00: Towards a Theoretical Understanding of Deep Learning via the Minimum Description Length Principle (Dr Yoshinari Takeishi, Kyushu University)

2026-02-11 14:00: Group Entropies: functionals on probability spaces, state space growth rates, energy, and connections to thermodynamics (Prof. Henrik Jeldtoft Jensen, Imperial College London)

2026-02-18 14:00: Applications of Algorithmic Information Theory (Prof Marcus Hutter, Google DeepMind, London)

2026-03-04 14:00: Graph Joinings, Graph Isomorphism, and Reversible Markov Chains (Prof Andrew Nobel, UNC Chapel Hill)

2026-03-11 14:00: Optimal Estimation in Orthogonally Invariant Generalized Linear Models (Dr Yihan Zhang, University of Bristol )

2026-05-20 14:00: The Inaccessible Game (Professor Neil Lawrence, University of Cambridge)